Data Architect Resume Samples

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KH
K Hauck
Kimberly
Hauck
7880 Dicki Field
Los Angeles
CA
+1 (555) 361 7514
7880 Dicki Field
Los Angeles
CA
Phone
p +1 (555) 361 7514
Experience Experience
Boston, MA
Data Architect
Boston, MA
Pouros LLC
Boston, MA
Data Architect
  • Client Credit Data Architect Data Architecture and Information Services (DAIS) is the group within the Enterprise Architecture Management and Services (EAM&S) department that is responsible for developing and maintaining data structures (physical database objects) and a repository for the formal definitions of the data and data structures (Global Data Dictionary) for all of client Credit globally
  • Participate in data integration, business intelligence (BI) and enterprise information management programs by rationalizing the data architecture to support reuse
  • Create reports
  • Works with Data Engineers, DBA’s as part of Database Design and Development
  • Working knowledge of software development methodologies including RUP, Agile, Extreme Programming, SDLC, and Waterfall
  • Develop and maintain Enterprise Data Models for Enterprise Class Data Initiatives
  • Developing and enforcing data modeling standards and best practices
present
San Francisco, CA
Data Architect
San Francisco, CA
Jenkins LLC
present
San Francisco, CA
Data Architect
present
  • Organizing and managing the technical DATA team of data architects, data modelers, engineers and providing leadership, guidance, and mentoring
  • Developing conceptual and logical information models within the context of the Enterprise and Line of Business Information Architecture
  • The Data Architect will oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers, address data related problems in regards to systems integration and compatibility, as well as act as a leader for coaching, training and providing career development to stakeholders
  • Ensuring that DW/BI standards and guidelines are used to develop the information models and database designs
  • Working with the DBA to transform the logical information model into a first-cut logical database design (physical information model for the target DBMS)
  • Developing a comprehensive process used to drive efficient application of resources across the business
  • House database expert and authority by defining, implementing, and enforcing all data integration standards and documentation. Review and suggest improvement to the data architecture processes, policies, and vision and explore new and emerging technologies. Lead the investigation and adaptation of beneficial data architecture technologies and tools and lead strategy, development, and implementation of an Enterprise Data Model and strategy development for usage of Operational Data Stores. Develop transparent and well understood enterprise data governance processes, rules, and technologies to support them, identify and promote best practices for data modeling within information areas, and provide oversight for all activities related to data cleansing, data quality, and data consolidation
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Colorado State University
Bachelor’s Degree in Computer Science
Skills Skills
  • Data Analysis- Strong SQL skills and data profiling. Comfortable with Informatica or similar data profiling tool
  • Highly motivated, a quick learner, able to work independently or in a team and drive solutions with minimal supervision
  • Strong knowledge on data profiling, data standardization, transformation, cleansing and best practices to apply on high volume data
  • Strong business acumen that enables the ability to develop strategy, process capabilities, and enabling database technologies
  • Strong knowledge of leading concepts in Data Quality, Master Data Management, Data Governance and Data Stewardship
  • Experienced in creating highly available systems, leadership skills and ability to mentor and train other technical staff members
  • Strong problem solving and logical thinking skills - the ability to take complex ideas and break them into logical actionable steps
  • Great balance between offering quick solutions and writing maintainable code
  • Excellent understanding of how data integrity is maintained across complex, distributed systems and good working knowledge of TPMS, XA, ETL and SOA solutions
  • Excellent written and verbal presentation skills, and ability to present to technical and business audiences
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15 Data Architect resume templates

1

Data Architect Resume Examples & Samples

  • Responsible for designing and delivering Flexible & Performant Databases which align with Business Goals
  • Help in developing Enterprise wide guidelines/standards for Database Design
  • Works with Data Engineers, DBA’s as part of Database Design and Development
  • Work with Solution Architects to develop ETL/Data Integration/Data Processing Flows
  • Support Minor Database Change Requests as needed
  • Develop and maintain Enterprise Data Models for Enterprise Class Data Initiatives
  • Support ETL Teams in Development effort if needed
  • Work with Development Teams to understand and make recommendations on Proposed Database Structures and Data Flows
  • Expert Level working knowledge of Database Design and Data Modeling Principles
  • Financial Services Industry knowledge is a plus
  • Experience with IBM Infosphere (Business Glossary, Information Analyzer, Metadata Workbench) is a plus
  • Experience with HP Non Stop SQL is a plus
  • Bachelor’s Degree in a Technology Related Discipline is preferred
2

Data Architect Resume Examples & Samples

  • Translates enterprise or business requirements into long-term information/data architecture solutions, including conceptual, logical and physical models
  • Analyzes and defines enterprise master data management strategies and models
  • Implements and promotes governance processes for information and metadata to ensure establishment of a common language and the ongoing accuracy, validity, and reuse of metadata
  • Architects and designs data virtualization and data abstraction solutions, leads the related implementation efforts
  • Defines and maintains best practice guidelines and standards for data, metadata, data modeling, and management
  • Provides best practice leadership to database administrators and application developers
  • Documents technology roadmaps and the transition from the current architectural framework to target architecture of the future
  • Serves as point of escalation, review, and approval for key issues, significant projects, and decisions
  • Advises business and technology groups on future technology options, outlining risks, costs, benefits, and capabilities
  • Collaborates with business analysts and project managers on a wide range of technology projects, including software development, package implementations, and infrastructure upgrades/changes
  • Bachelor's degree in Computer Science, Computer Information Systems or related required
  • Master's degree in Computer Science preferred
  • Detailed understanding of information/data architecture
  • Experience successfully implementing data-centric applications, such as data warehouses, operational data stores, and data integration projects
  • Comprehensive understanding and experience in master data management best practices and ability to be a leader in their implementation
  • Experience in metadata management—maintenance as well as design and implementation of metadata-driven enterprise solutions
  • Working knowledge of data architecture principles, terminology, and data modeling techniques
  • Detailed understanding of data repository characteristics, including data warehouses, operational data stores, data marts, and application databases
  • Demonstrated ability to produce conceptual, logical, and physical data models, proven experience with data modeling tools
  • Experience with and knowledge of ETL methodologies and tools (Informatica, SQL Server Integration Services)
  • Detailed understanding of relational databases (SQL Server 2000/2005/2008)
  • Good understanding of reporting/analytic technologies (Cognos, SQL Server Reporting Services, SQL Server Analytic Services)
  • Knowledge and experience with industry reference models and data governance processes
  • Knowledge of data discovery methodologies
  • Knowledge of data classification, business ownership/stewardship definition, and developing role-based data access
  • Familiarity with data privacy, compliance, and security principles and standards (GLBA, COBIT, Sarbanes-Oxley, etc.)
  • Experience with EAI, SOA, and web services
  • Strong strategic planning capabilities
  • Experience working with cross-functional IT groups to promote open communication and teamwork
  • Familiarity with architectural frameworks (ZIFA, TOGAF, etc.)
  • Understanding the enterprise architecture discipline, processes, concepts, and best practices
  • Excellent verbal and written communication skills in order to document and present data models, strategies, standards, and concepts to both business and IT audiences
  • 5 years systems/data architecture experience with large-scale, mission-critical databases and applications
  • Previous Financial Services/Investment Management industry experience preferred
3

Data Architect Resume Examples & Samples

  • 5 years of data architecture and data modeling experience
  • Expert in at least one Data Modeling tool (Power Designer or CA Ervin is preferred)
  • Proven ability to transform business information into conceptual, logical and physical data models
  • Strong skills in Relational Database (preferably DB2) including database design & SQL writing
  • Advanced collaboration and communication skills to be able to interact with business units
  • Experience in finance industry, domain knowledge in Operational Risk & Control business functionalities
  • Unix & Autosys expousore, system administrator background
  • Informatica ETL and IDQ
  • Experience working datawarehouses
  • Experience working with Enterprise Data Warehouse Frameworks and ETL design.*LI-MW
4

Data Architect Resume Examples & Samples

  • Work with Head of Data, Documents and Imaging on data management standards
  • Manage a team of Data Modelers, Data Analysts, and Metadata Repository Administrators, providing technical leadership and coaching to team members
  • Understand data flows and lineage from operational data sources to analytical data sources
  • Review and approve project designs including data models and ETL
  • Work with Chief Architect to evaluate new/upgraded software and infrastructure
  • Work with project teams to ensure compliance with data management standards
  • 10 years in information technology
  • 5 years in architecting enterprise class data management solutions
  • 5 years of experience managing direct report employees
  • Ability to lead the design and development of a large-scale data warehouse
  • Knowledge of data architecture concepts such as data cubes and OLAP multi-dimensional systems, data marts, data mining systems, operational data stores, data warehouses, staging databases and data servicing layers
  • Experience in enterprise data modeling standards and tools such as Erwin
  • Experience in Microsoft SQL Server 2008 R2 or higher. Experience in Oracle 11g or higher a plus
  • Experience in SQL or query optimization, indexing and performance tuning, and design for performance
  • Experience working with database deployment architecture that includes clustering and replication
  • Experience with capturing enterprise metadata including structure, data lineage and data quality. Experience with Ab Initio Metadata Hub a plus
  • Familiarity with the procedures and issues of implementing ETL routines. Should have experience with an ETL tool, preferably Microsoft SSIS. Familiarity with Ab Initio is a plus
  • Strong communications skills and the ability to work with customers to understand business requirements
5

Data Architect Resume Examples & Samples

  • Demonstrated communication skills with business and technology
  • A College or University degree and/or relevant proven work experience is preferred
  • The candidate will have excellent communication skills and have demonstrated the ability to marry the needs of a business with a balanced risk based approach to implementation of systems
6

Data Architect Resume Examples & Samples

  • Data Analysis and Modelling – Working with the business and data analysts in the EDH team, as well as the key stakeholders, drive out requirements for data from consumers and understand how these map onto the data within the warehouse, and within the systems that feed the warehouse. Use this information to drive the data modelling activities both to the relational and XML models. This will require being proactive in understanding the requirement of the service consumers as well as the capabilities of the data providers
  • Manage the data governance forum – the data model for the EDH is tightly governed and the role holder will chair the meetings of the data modelling governance forum
  • Technical architecture – drive evaluation of the technology architecture to support new requirements and improve existing capabilities
  • SQL (ideally in a data warehouse environment)
  • Messaging middleware (IBM MQ or similar)
  • SOAP web services
7

Data Architect Resume Examples & Samples

  • Contribute to data architecture frameworks, data architecture strategy, policies, guiding principles and standards to govern how technology solutions will be developed and implemented
  • Support the communication and execution of a comprehensive data strategy
  • Contribute to the evolution of the enterprise information model to support all operational platforms, data marts and data warehouses
  • Contribute to the development of project plans by providing input and manage projects/initiatives by directing assigned resources, communicating project status and providing timely escalation of issues. Contribute to meeting key project milestones
  • Work with Solution Architects, Application Architects and Subject Matter Experts to develop conceptual data models consistent with enterprise frameworks, standards and data strategies
  • Ensure projects are compliant with technology architecture and review all related activity against technology architecture and development standards
  • Demonstrate proficiency in facilitating large complex assignments while taking an enterprise wide view of data requirements
  • Apply knowledge of business requirements and industry knowledge and best practices to the maintenance and enhancement of the enterprise-wide and/or project specific architecture frameworks
  • Engage with vendors, clients and project teams for data architecture
  • Review the database deliverables to ensure quality and traceability to requirements and adherence to all quality management plans and standards
  • Support the development and test teams with the creation of test data and ensure test data conforms to data security requirements and enterprise data standards
  • Extend and promote the TDI data policies, standards and guidelines and align with the enterprise and contribute to decisions on technology standards
  • Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth
  • Develop advanced knowledge of business/organization, Bank and Insurance standards from an architecture perspective
  • Assist in determining the cross-application data standards, data distribution standards and integration strategies
  • Provide strategic and technical advice to senior managers and technical resources in the creation and implementation of new data standards and databases
  • Assess the technical characteristics of proposals and alternatives considered to optimize database performance
  • Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices
8

Data Architect Resume Examples & Samples

  • 5+ years of experience in a formal Data, Services and Solution Architecture role in a complex development organization
  • 2+ years of experiences in Big Data Solution Architecture role
  • Provide expertise and counsel; ensuring technology teams and business areas understand the architectural options in support of their business initiatives
  • Research/analyze business requirements to evaluate and recommend optimal solutions
  • Influence from an architectural perspective within the business environment, and fulfill a data/service governance role
  • Apply industry knowledge to provide solutions that increase business results and/or minimize risk
  • Identify, recommend, source, negotiate and implement emerging data trends, developments and improvements/solutions (buy/build/reuse)
  • Knowledge of process and enterprise architecture governance (TOGAF, Zachman)
  • Knowledge of SAP Business Objects, and OBIEE would be considered an asset
  • Development of Business and Data Roadmaps and associated plans
  • Use specialized tools and techniques to develop data model and enhance existing data model. Experience in ETL, data architecture, data modeling, data analysis and profiling, Metadata Management, Reference Data Management, Big Data, Master Data Management, and the Teradata Financial Services Logical Data Model considered an asset
  • Use specialized tool and technique to develop service/message model and enhance existing service/message model. Experience in EAI, SOA, and ESB, designing and implementing solutions using WSDL, REST and SOAP
  • 2+ years of experience with the following tasks in the context of Distributed Data Analytics
  • Implementation of Data Warehouse applications
  • Administration of relational databases
  • Data migration from existing data stores
  • Able to multi-task in a very dynamic environment as a Data/Services/Integration Architect may be juggling 5-10 projects within their portfolio at a time
  • Build consensus and alignment between enterprise-wide direction and business specific initiatives and requirements
  • Excellent logical thinking skills possessing the ability to prepare logically structured papers
  • Very good written and verbal communication / presentation skills
9

Data Architect Resume Examples & Samples

  • Proactively educate delivery teams on MB guiding principles, standards, and data governance practices
  • Engage in multiple information architecture initiatives to guide data requirements, ensure proper data model design, build data models when required (logical and physical), and enforce information architecture standards
  • A good teacher and communicator on the modeling techniques, data solutions, modeling & governance
  • Identify new trends in data management architecture and tools
  • Experience with data warehouse design, master data management, and “Large Data” technologies is a plus
  • Excellent communication skills, including verbal, written and presentation, are required
  • Requires technical understanding of Data Integration, SOA, MDM, Metadata, DWH, Reporting & BI product suites
10

Data Architect Resume Examples & Samples

  • Minimum of 2 year of hand-on experience programming in Hadoop framework, HDFS, MapReduce processing implementation
  • Minimum of 5 years systems development and implementation experience using Java/J2EE, RDBMS, Linux/Unix
  • Working experience with large scale Hadoop environments build and support including design, configuration, installation, performance tuning and monitoring
  • Experience with the following tasks in the context of Hadoop
  • Bachelor's degree (or higher) in Computer Science, Engineering or Technical Science
  • Hands-on experience with the overall Hadoop ecosystem (e.g. MapReduce, HDFS, Pig, Hive, HBase, Flume, HCatalog, Sqoop, Oozie, Zookeeper)
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, JSP, XML)
  • Well versed in installing & managing Cloudera distribution of Hadoop (CDH5, Cloudera Manager, etc.)
  • Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)
  • Experience with ETL (Extract-Transform-Load) tools
  • Hands-on experience with Visualization and BI tools and reporting software (e.g. Tableau, Cognos, Microstrategy, Pentaho)
  • Hands-on experience with Hadoop based monitoring tools (CM, NagiOS, Ganglia etc.)
  • Previous experience with NoSQL or distributed RDBMS would be an assist (Cassandra, MongoDB, etc.)
  • Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems
  • Must be proactive and be prepared to address meetings
  • Must show initiative and desire to learn business subjects
  • Excellent problem solving skills; proven teamwork and communication skills
11

Data Architect Resume Examples & Samples

  • Lead and collaborate within WMTS to select and define appropriate data architecture in line with the Wealth Data Strategy
  • Align Wealth Data Strategy with Enterprise Data Strategy
  • Deliver effective, agile data designs
  • Develop, maintain, and refine data models: conceptual, logical, and physical, in relational, dimensional, multidimensional and non-structured environments
  • Define data integration architecture
  • Develop, maintain and refine data standards for WMTS
  • Create Data Movement/Preparation/Transformation data standards
  • Determine business requirements and based on those requirements define what data is required for projects
  • Determine non-functional characteristics of data: timeliness, access-to data/batch/online/existing service
  • Define data quality standards
  • Review existing database deployments for alignment to WMTS data models
  • Identify data sources, confirm which systems have the data required, construct data decomposition diagrams, data flows & data context diagrams
  • Obtain buy-in and adoption, through socializing key concepts, objectives, benefits and plans of the program
  • Liaise with other areas of the enterprise to identify possible areas of synergy and leverage to accelerate the development of WMTS’s data architecture and facilitate stronger integration with other parts of the bank
  • Further advance the TD Enterprise Data Model (EDM) for any new data that is required
  • Research and innovate: continually recommend improvements to data modeling techniques, data-related technologies and standards and governance resources and processes
  • Ensure a good relationship is maintained with stakeholders, to keep them informed of business needs and current direction
  • Act as an expert consultant / resource in data design, architecture governance principles and best practices
  • Work effectively as a team, supporting other members of the team in achieving business objectives. Provide leadership / consulting / direction to the team on all aspects of data architecture to ensure advanced learning occurs. Lead and manage data architecture activities within the team
  • Work with Solution Architects, Application Architects and Solution Designers to define data requirements and provide a foundation for data design
  • Model and design the application data structure, storage, and integration in collaboration with Solution Designers and DBAs for operational systems, web APIs, DataWarehouse and BI analytics
  • Ensure that the Developers and DBAs responsible for developing the database thoroughly understand the requirements and designs
  • Review the data deliverables to ensure quality and traceability to requirements and adherence to all quality management plans and standards
  • Provide guidance on database analysis, design, and build effort
  • Primary Subject Matter Expert with specialized knowledge related to data architecture of multiple TD applications and/or lines of business
12

Data Architect Resume Examples & Samples

  • 10 plus years of experience in Data Architecture and Modeling in Data and Information Architecture and Data Warehousing
  • Practical experience with Big Data technologies and Architecture
  • Experience building multiple Logical Data Models, both custom and industry banking models (FSLDM or BDWM)
  • Experience designing and supporting a multi-terabyte Data Warehouse using Teradata, Oracle, Hadoop or DB2
  • Requires technical understanding of key aspects of current architectures regarding Data Integration, SOA, Master
  • Data Management, Metadata, Data Warehousing, Reporting & BI product suites
  • Experience with data security and privacy architecture is critical
  • Requires extensive understanding of Data Warehousing, Active Data Warehousing, Operational Data Stores, Data Integration, Reporting and BI technologies
  • Experience achieving objectives in a large organization including influencing and negotiating with Sr. Management
  • Experience with and a strong understanding of the Teradata RDBMS, Hadoop and the SAS product suite
  • Experience with different classes of BI tools. Experience with Cognos, Tableau is a plus
  • Excellent people skills, leadership skills and experience motivating people to achieve objectives
  • Understanding of Data Integration and ETL technologies. Experience with DataStage or SAS is preferred
  • Bachelor's degree in Science, Business or Arts is required, Master's degree in Computer Science or similar is
13

Data Architect Resume Examples & Samples

  • Performs data modeling (conceptual, logical and physical) for supported applications (OLTP, ODS, MDM, Data Marts, Data Warehouse etc.,) and projects and creates related diagram deliverables
  • Performs initial table storage capacity and predicted future growth based on the application use and online retention requirements
  • Prepares table access properties and volatility transactions
  • Creates technical specifications, documentation and data dictionaries
  • Assesses the impacts and efforts of new projects and continuous enhancements to existing application data architectures and data models
  • Generates sequenced sets of DDL scripts through the use of versioning
  • Leads the creation of database related scripts and programs required to compliment the auto-generated DDL scripts
  • Partners with application teams on the data loading technology and logic to achieve the best results
  • Partners with the DBA’s on the database design, co-existence and consolidation and replication/propagation strategies for new applications
  • Evaluate SQL and NoSQL technologies that are appropriate for specific use cases
  • Design models for NoSQL DB based on the business requirements
  • Analyze Big Data use cases and design data stores and data architecture using Hadoop and related technologies
  • Collaborates with the Sr. Data Architect, defines standards in data architecture and modeling for transaction, reporting, data warehouse databases with considerations to database availability, scalability, manageability and performance
  • Collaborates with the Sr. Data Architect in defining standards for how data will be organized, stored, accessed and propagated while maintaining a flexible and extensible architecture that allows evolving information needs
  • Seeks for opportunities to reuse, share, consolidate and leverage existing data architectures
  • Maintains an accurate and up to date Meta data repository containing data and business definitions, data sources and usage of information that can be used by business users and application teams to enhance overall data quality and the ability to rapidly deliver business solutions
  • Assists the application teams in the definition of extract, transformation and load processes used to populate tables
  • Manages the data modeling tool and repository and ensures accurateness and up to date information
  • Develop project plans and estimate efforts for projects
  • Researches, evaluates and recommends trends and products to deliver high quality and low cost data management solutions
  • Stays abreast of data modeling, RDBMS features and functionality through attendance at seminars, classes and other training material
  • Six years of experience as data architect or data modeler
  • A Bachelor of Sciences Degree in Computer Science or equivalent training and practical experience
  • Experience in designing data models and architecture standards for multi-terabyte databases in both OLTP and Data Warehousing. Minimum of two years in Data Warehousing environments
  • Experience in designing data models for MDM and ODS
  • Experience designing utilizing ETL technologies
  • Experience designing utilizing Data Federation and Data Virtualization technologies
  • Extensive experience with Oracle RDBMS and applying features to produce highly manageable, performing and scalable data architectures with multi-terabyte databases
  • Experience with designing data architectures leveraged by OLAP, MOLAP and ROLAP applications
  • Knowledge of NoSQL technologies and design concepts
  • Knowledge of Big Data and Hadoop technologies and design concepts
  • Experience in managing multiple concurrent projects using standard software development life cycle methodologies
  • Requires knowledge of web, middleware technology, Object Oriented design and Service Oriented Architectures
  • Data modeling and architecture experience with SQLServer, Sybase and DB2
  • Practical work experience with Informatica ETL tool or other ETL technologies
  • Practical work experience with NoSQL DBs
  • Practical work experience with Hadoop based solution implementation
  • Practical work experience as a DBA in development and production environments
  • Experience in the design and maintenance of near real-time data warehousing
  • Experience in the financial services or mutual fund industry
  • Ability to work across functional teams to gather requirements needed for the design of the solution
  • Ability to work on multiple, concurrent projects of varying size and scope and core team activities in a fast paced, global environment
  • Ability to build consensus and collaborate with others
  • Ability to meet objectives within short timeframes and prioritize conflicting deadlines
  • Creative and innovative in the use of technology
14

Data Architect Resume Examples & Samples

  • Experience working successfully in data management domain (with primary focus on information / data architecture as well as Master Data Management, Data Quality and Data Governance) gained from a mixture of development, design, architecture and technical lead roles
  • Consulting / software background and /or extensive experience of dealing and managing such consulting organizations, system integrators and software vendors
  • Proven track record and experience in end-to-end architecture obtained from multiple implementations of enterprise scale, data centric projects
  • Strong academic and practical background in architecture development and design methodologies, holding formal architectural certifications and / or being able to demonstrate significant IS industry experience across major consulting and delivery organisations
  • Advanced Microsoft Office skills (Word, Excel including VBA, PowerPoint, Visio and Access)
  • Proficient user of data modelling (e.g. Erwin, ER/Studio and PowerDesigner) and enterprise architecture tools (e.g. Enterprise Architect, ARIS and Mega)
  • Experience using SQL for modifying, manipulating and transforming data
  • Experience with RDBMS technologies (e.g. Oracle, SQL Server, Teradata)
  • Exposure to / experience of using project management tools (such as MS Project or suitable alternatives)
  • Exposure to / experience of using collaboration tools (e.g. SharePoint, Wiki etc)
  • Exposure to / experience with ETL technologies (e.g. Informatica, MS SSIS, Ab Initio etc)
  • Exposure to / experience with data quality tools (e.g. Trillium, SAS DataFlux, Informatica Data Quality etc)
  • Exposure to / experience with MDM technologies (e.g. SAP Netweaver, IBM InfoSphere Advanced, Oracle Siebel UCM etc)
15

Data Architect Resume Examples & Samples

  • Analyze business needs and information requirements, define optimum system requirements to meet business needs, and prioritize and manage new requirements
  • Develops detailed analysis, design, construction and testing specifications ensuring technical compatibility and integration
  • Verifies decision support program specifications with users for reliability, accuracy and functionality. Provide support to development team through tuning, indexing, sizing and debugging to ensure that quality and standards meet customer expectations
  • Maintain modeling and naming standards and data normalization, meta data management, source to target data mapping
  • Provides technical leadership to onsite/offshore development team through mentoring and technical documentation
  • Manages overall physical database structures for business functionality, data integrity, performance, recoverability, maintenance, and space requirement considerations
  • Monitors system and database performance to identify performance improvement opportunities via physical database design, SQL or programming changes
  • Creates and maintains logical and physical data models, metadata repositories, data catalogs, performing database design
  • Maintain data model and queries for data retrieval and data distribution to downstream systems
  • Bachelor's Degree with a minimum 2 years of IT experience
  • Minimum 2 years of SQL skills and experience tuning both SQL code and physical database design
  • Minimum 2 years experience in PL/SQL and extensive experience in stored procedures Eligibility Requirements
  • Must submit your application for employment through COS (Internal Candidates) or GECareers.com (External Candidates) to be considered for this opening
  • Must be willing to travel up to 5% of time
  • Experience in analyzing source system, data flows, and delivering data architecture designs
  • Possesses SQL skills
  • Experience working as a Data/Information Architect
  • Experience performing logical and physical design, performance monitoring and tuning as well as project implementation
  • Knowledge of backup, recovery, and security procedures for Oracle databases, and data modeling
  • Review business requests for data and data usage, researches and recommends changes to upcoming data sources
  • Extensive experience with performance tuning and metadata design and management
  • Performance tuning and stored procedure development using PL/SQL
  • Work with BI team to build and run ETL workflows with Informatica or similar
  • Design and maintain logical and physical database models with ERwin or similar
  • Maintain existing Oracle schemas for self-service applications including data dictionaries
  • Optimize database model and queries for data retrieval and data distribution
  • Strong communication skills to work on a cross-functional team and leverage IT COE's
  • Ensure all disaster recovery and replication scripts are running
16

Data Architect Resume Examples & Samples

  • Own the enterprise-level Data Architecture for KYC data serving as the authoritative reference for implementation of KYC applications and common services (conceptual & logical models; metadata management
  • Develop organization and versioning scheme across compliance requirements, logical data model, KYC system implementations and client records
  • Work with compliance to simplify and streamline the management of KYC requirements
  • Work with LOB Technology areas and CIS to develop standard mappings to CIS data model
  • Work with senior architecture and business analysis resources across LOBs and ES to define strategy, standards and business processes for shared KYC data
  • Work on current to target state roadmap
  • Develop a governance process for KYC data
  • Support global KYC projects (e.g., risk scoring, periodic reviews, holistic view, global due diligence, etc.)
  • Participate and/or lead cross-LOB Design Council sessions
  • Provide data architecture oversight
  • Excellent knowledge of Client Reference Data and its use/impact in the enterprise
  • KYC experience at equivalent large bank/broker dealers
  • Knowledge of Master Data Management
  • Ability to identify patterns, concepts, abstractions
  • Hands-on experience with data modeling tools (object-oriented and relational)
  • Experience in large, complex, cross lob technology initiatives
  • Detail oriented and strategic thinker
  • Ability to collaborate and build strong partnerships across business, technology and operations as well as across regions and lines of business
  • 10 to 15 years minimum in technology preferably with a financial services firm
17

Data Architect Resume Examples & Samples

  • 10+ years hands-on data architecture experience - in both maintenance/operational and project support role. 6+ years in data centric initiatives
  • Proficient in supporting data design activities
  • Experience in Financial Services industry preferred
  • Bachelors degree or equivalent work experience or certification
18

Data Architect Resume Examples & Samples

  • Work with business users and project teams to gather robust metadata and complete projects within specific timeframes
  • Ensure that element definitions are robust and meaningful
  • Name elements according to established standards
  • Utilize ERWin to develop logical data models from functional specifications, data requirements, and business rules provided by clients. These models will be consistent with the Group Template Models, Group Logical Data Modeling standards, and modeling best practices
  • Support the various loading procedures of’ logical models and databases into the metadata repository (GMR)
  • Maintain and enhance existing logical data models based on change requests or enhancement requests
  • Follow established data administration standards for quality and referential integrity
  • As necessary, develop task project plans and track against same
  • As necessary, monitor the plan’s critical paths and modify project plans accordingly
  • Communicate project status to management
  • Miscellaneous duties as assigned
  • Provides instructions to teammates on new procedures, techniques and software. Assist in providing guidance on continuous improvement of operations, decreasing turnaround times, streamline work processes and work to provide seamless customer service
  • Good communication, interpersonal and professionalism skills who can work directly with applications/client users of all levels of staff and management
  • Master’s degree in business supplemented by technical coursework preferred
  • 1-3 years working as a Business Analyst – focus on gathering requirements
  • Ability to read a logical data model
  • Familiarity with a data modeling tool, ERWin preferred
  • Understanding of relational database structures
  • The ability to work in a team environment, collaborate and work well with peers
  • A high sense of ownership with customer service focus
19

Data Architect Resume Examples & Samples

  • Bachelor's degree in Computer Science or equivalent, Master's degree preferred
  • Minimum 6 years of database architecture experience
  • Expert understanding of complex SQL
  • Ability to work in a dynamic team environment and interact with resources from technical and non-technical organizations
  • Outstanding organizational and time management skills - able to manage and prioritize multiple assignments
  • SQL, python , Shell , Ruby
  • MYSQL important, Netezza and Vertica plus
  • Hadoop, Impala, Spark nice to have
  • Developing logical and physical data models and designs based on customer requirements
  • Dimensional modeling and NOSQL modeling
  • Developing and implementing data replication schemes
  • Measuring, analyzing, and tuning the performance of database applications
  • Database security, encryptions, SSL, and user profiles
  • Business intelligence/Data Warehouse solutions
20

Data Architect Resume Examples & Samples

  • 5+ years of related experience
  • College Diploma or University Degree in the field of Computer Science / Engineering or Information Systems
  • Expert level SQL skills, experience with SQL Server 2012 including SSIS and SQL Server
  • Hands-on experience with systems requirements gathering/analysis Management Studio
  • Solid understanding of governance frameworks developed to resolve data ownership, sharing, and access rights
  • Knowledge of enterprise architecture concepts and approaches
  • Experience with Agile, SCRUM and XP development methods
  • Demonstrated experience of software integration principles and practices
  • Experience with application development tools, including Microsoft Visual studio
  • Previous experience working on a large legacy system migration and conversion project
21

Data Architect Resume Examples & Samples

  • Technical Management and Project Development Functions
  • Provide leadership and direction for integrating and rationalizing data design within RBC’s Data Management Environment
  • Provide DWE solution architecture for data warehousing projects
  • Conduct studies of new tools and technologies relevant to Data Management & Data Warehousing
  • Improve EIM performance by providing technology leadership through
  • Education and awareness
  • Development of business cases for tools and technology introduction
  • Extend and promote the RBC data policies, standards and guidelines across the enterprise
  • Exercise influence and impact across the enterprise in promoting the thought leadership and the strategic data management direction across the enterprise - Establish, publish, and evangelize the use of information standard data models, policies, tools and infrastructure across the enterprise
  • Lead research efforts and introduction of new data management tools and technologies
  • Initiate and direct studies related to enterprise data standards, strategies, issues and opportunities
  • Liaise with other technical areas, conduct technology research, evaluate software and produce strategy/direction papers
  • Effectively communicate complex architectural strategies and directions to both systems and business users
  • Interface with systems and business management to raise their level of understanding and support for information integration
  • Promote the goal of data stewardship
  • In-depth understanding of application, information and data architectures; broad knowledge of RBC businesses and systems
  • Ability to balance creativity with pragmatism, concepts with practical applications
  • Very strong interpersonal and communication skills; ability to communicate with people in wide variety of areas and at various levels from technical specialists to senior executives
  • Strong technical skills in data management: data modeling and db design, DWE Solution Architecture, data movement, business intelligence, data quality, reference and master data management, data governance processes etc
  • Enterprise data modeling and integration
  • Understanding of Business and Solution Architecture disciplines and techniques
  • Experience and ability to solution with current technologies (DB2, SQL Server, Oracle, Teradata, Datastage, Oracle BI etc)
  • Ability to assess and solution with emerging technologies (Big Data, Hadoop, NoSQL, Cloud etc.)
  • Data model entities and relationships of a financial services platforms and enterprise functions (e.g. Banking, Insurance, Investments, Wealth Management, AML, Risk, Finance, Fraud etc....)
  • Patterns of usage of the entities and relationships in the data model
  • Database integration patterns and performance considerations for operational and DWE databases
22

Data Architect Resume Examples & Samples

  • 5+ years of prior experience as a Data Analyst
  • Prior FPA experience
  • Proficient in designing and developing spreadsheets, databases, and graphs
  • Working knowledge of statistical analysis tools
  • Comprehensive knowledge of Excel, Access, PowerPoint, Business Objects, Crystal Reports and SAS and Oracle data bases
  • Knowledge of the banking industry products and regulatory requirements
  • Familiarity with loan accounting requirements
23

Data Architect Resume Examples & Samples

  • As the Data Architect in the CoE you will be responsible for building and maintaining the data model that underpins the operations and analytic capabilities of our business
  • Drawing on your skills and experience, you will create innovative insights for the CoE and our clients, adapt methods and practices to fit operational team and cultural needs and contribute to thought leadership exposing by previously hidden knowledge through the use of leading edge technologies and solutions
  • Create, design and architect the data model based upon business and user requirements
  • Perform both logical and physical modelling of the DB as well as designs of the XML schema (not just the database)
  • Maintain metadata and mappings for correlating information
  • Define the data dictionary and information taxonomies
  • Use modelling tools to provide clarity over technical specifications for the solution delivery teams
  • Provide proof of concept support and basic delivery capability, before full design and development is provided by the delivery teams
  • Review all current operational data structures and recommend optimizations and reconfigurations
  • Develop and maintain all standards required for our data structures and models
  • Work with business analysts, technical staff, and CoE team members to plan, design, develop, implement, and enhance applications and metadata for CoE systems
  • Work closely with 3rd party vendors to integrate selected packages
  • Recommend and evaluate new tools and methodologies
  • Will provide full-life cycle architectural guidance and ensure quality technical deliverables
  • Plan and lead the design of data conversion (Extract/Transform/Load) processes, utilising external resources as required to ensure we have a comprehensive data lifecycle process and governance in place
  • Development of the Information Strategy
  • Experience working successfully in data management domain (with primary focus on information / data architecture as well as Master Data Management, Data Quality and Data Governance) gained from a mixture of development, design, architecture and technical lead roles)
  • Consulting / software background and /or experience of dealing and managing such consulting organizations, system integrators and software vendors
  • Proven track record and experience in end-to-end architecture obtained from multiple implementations of data centric projects
  • Proficient user of data modelling (e.g. Erwin, ER/Studio or similar)
  • Experience with RDBMS technologies (e.g. SQL Server)
  • Experience in web based Architecture, end user usage analytics and design improvements
  • Experience with business analysis and requirements gathering techniques
  • Knowledge of business process modelling techniques and workflow systems
  • Knowledge of XML and XBRL
  • Ability to manage multiple priorities, follow a project plan and meet project deliverables
  • Strong conceptual, analytical and decision making skills
  • Proficiency with Microsoft Office (Word, Excel, PowerPoint, Access)
  • Exposure to enterprise architecture tools (e.g. ARIS, Mega)
  • Exposure to unstructured data (e.g. Hadoop)
  • Exposure to middleware technologies EAI and ETL tools
24

Data Architect Resume Examples & Samples

  • Extensive database/data warehouse modeling and design experience (ERWin, PowerDesigner preferred)
  • In-depth knowledge and hands-on experience with data integration ETL development
  • In-depth knowledge and hands-on experience with reporting and analytic tools such as Business Objects, SAS, etc
  • In-depth knowledge and hands-on experience of database systems, specifically Teradata, Sybase, Oracle and/or DB2
  • Strong SQL and database performance tuning skills
  • Team management skills
  • Experience in NoSQL/Big Data
  • Experience with Java or any other programming language
25

Data Architect Resume Examples & Samples

  • Participate with BI team in the implementation of processes which result in a high degree of data quality and integrity, and assist in the resolution of data quality issues
  • Establish and maintain an Enterprise Data Model describing how data is processed, stored, and utilized, including source to report lineage
  • Develop data governance strategy and controls to ensure consistency of data between various systems, and across the enterprise system architecture
  • Provide advice and give presentations on solutions for business intelligence and data warehousing activities including reporting, and data analytics for stakeholders at different levels within the organization
  • Consultation and collaboration with Enterprise Architect, Security and Service delivery areas to ensure solutions adhere to strategies, standards and policies
  • Help drive best practice in the Architecture domain through the introduction of enhanced development, testing and deployment standards and policies
  • 10 + years commercial development experience of hands-on design and implementation of business solutions that include data design/modelling, ETL technologies and reporting/BI technologies, for multi-terabyte data warehouse solutions
  • Exposure to projects involving data warehouse replacements, including platform selection
  • Track record of delivery of projects in mission critical environments
  • Exposure to multiple, diverse business systems, technologies and processing environments
  • Solid understanding of metadata management best practices with experience implementing or operating a metadata repository
  • Awareness of Big Data Solutions and Fraud Analytics
  • Prior experience of contributing to the development of IT strategies
  • Knowledge of all aspects of IT architecture (TOGAF or other frameworks is a benefit)
26

Data Architect Resume Examples & Samples

  • Strong knowledge of SQL in terms of performance tuning and optimizations
  • In depth experience with data/information modeling
  • Data Warehouse experience
  • Experience with risk management platform development in financial industry, i.e, market risk/credit/liquidity stress
27

Data Architect Resume Examples & Samples

  • Provide technical expertise to identify and build data-models
  • Develop data-entity and relationships diagrams based on business processes/models
  • Assist in designing of master data management models and technical reference models
  • Demonstrated experience designing and implementing data-dictionaries
  • Work with governance teams to identify data governance and select applicable standards
  • Bachelor's degree or an additional 4 years of relevant experience
  • Active high level government security clearance
  • 5+ years of System/Applications Development experience with focus on complex client/server and n-tier architecture systems
  • 3+ years of data management and architecture experience
  • 3+ years of experience using IBM System Architect or other architecture development tools
  • Strong practical knowledge of data-management and modeling
  • Understanding of National Information Exchange Model (NIEM)
28

Data Architect Resume Examples & Samples

  • Establishes metadata management, modeling approaches and standards, and best practices for DW
  • Adapts and implements data governance standards in the DW environment
  • Develops standards, guidelines, and processes to consistently address recurring issues such as data convergence, data duplication, semantic issues, and data integration/synchronization
  • Defines data strategy, policies, and controls to ensure that the DW environment is accurate, complete, secure and reliable
  • Identifies areas for data quality improvement and helps to resolve data quality problems through teams and platforms including the DW itself, the MDM platform, ETL and related services, and systems of record and reference
  • Engages with relevant internal parties and external vendors in best practice sharing and DW solution delivery
  • Manages the DW Data Logical, Physical, and Canonical Models, including data dictionary/metadata registry
  • Provides data consultation on complex projects and is considered to be a top level contributor/specialist
  • Develops and deploys scripts through established turnover processes
  • Analyzes and optimizes database and query performance
  • Designs, tests, and deploys data integrity and other data quality mechanisms for the DW
  • Develops and ensures compliance with data architecture principles and standards within the DW environment
  • Proven leadership experience
  • Strong experience working with metadata repositories and data modeling tools (e.g. Erwin, Rational Data Architect)
  • Strong working knowledge of MDM processes, governance, and platforms
  • Master-level knowledge of relational databases, Data Warehouse and business Intelligence solutions
  • Demonstrable teamwork and collaboration skills
  • Modeling/Design experience for high-performance platforms such as Oracle Exadata and Teradata will distinguish applicants
  • Applicants must have significant experience outside the Microsoft stack. Oracle experience with strong PL-SQL skills preferred. Experience migrating SQL Server to Oracle is a plus
  • Ability to function at the platform architect level as well as the application level is required, as the position is reponsible for both the DW platform and working with application teams (e.g., for view design)
29

Data Architect Resume Examples & Samples

  • Minimum of 10+ year’s of businesss requirements analysis and information modeling (logical and physical) of key financial products (Bilateral, OTC & exchange traded, centrally cleared) and concepts (e.g. positions, trades, financing transactions, future flows, collateral/margining) in the securities/financial industry
  • Minimum of 8+ years in handling Oracle based Physical Modeling
  • Minimum of 5+ years in Leading database level tuning and optimization in support of application development teams
  • Proficiency in SQL in order to access and analyze data residing in relational and dimensional databases
  • Proficiency in a data modeling tool – preferably Erwin
30

Data Architect Resume Examples & Samples

  • Provide strategic technology guidance to the business
  • Develop a deep understanding of the business to identify new innovative data tools that support continued growth
  • Identify opportunities for enterprise data quality and availability improvement - seek continuous improvement
  • Establish and enforce best practices for extracting, transforming and integrating a flexible and maintainable Data Warehousing architecture
  • Develop database architectural strategies at the modelling, design and implementation stages to address business and industry requirements
  • Provide and design tools to assist in the management of the data base
  • Collaborate with system architects, software architects, design analysts, and others to achieve a state of the art environment that meets current and future business objectives
  • Develop guidelines and standards for cataloguing and maintaining data
  • Minimum 3-5 years' experience in an analytical or architectural role
  • Experience in building, maintaining and evolving end-to-end analytics data sources to meet the needs of analysts & data scientists
  • Highly motivated, with a proven ability to work on own initiative and as part of a team within a challenging and dynamic work environment
  • Experience with Oracle, Toad, SQL, Microsoft Excel and Excel VBA would be beneficial
  • Proven track record of using strong analytical skills and a logical approach to problem solving
  • Ability to prioritise tasks and work on multiple assignments
  • Experience leading and motivating teams
  • Flexibility as required by the business from time to time
31

Data Architect Resume Examples & Samples

  • Designs and builds relational databases
  • Develops strategies for data acquisitions, archive recovery, and implementation of a database
  • Translates business needs into long-term architecture solutions
  • Reviews and develops object and data models and the metadata repository to structure the data for better management and quicker access
  • Must have Bachelor's degree
  • Must have 8 years of experience in IT with 5 years as a Data Architect
  • 5 years experience with Data Modeling & Data Administration Tools
  • 5 years experience in data architecture, data modeling and database design
32

Data Architect Resume Examples & Samples

  • 1) Data Architects produce Logical and Physical Data Models with corresponding Data Dictionaries while following Guidelines, Standards, and Procedures
  • 2) Data Architects maintain Data Models over life of application under request of project teams
  • 3) In addition, Data Architects review database designs, or packaged software solutions for fitness to project needs, architecture standards and best practices
33

Data Architect Resume Examples & Samples

  • Work with Stakeholders and Product Owners to understand and maintain a high level understanding of the current and upcoming requirements for the portfolio
  • Develop close links with key data stakeholders and a deep understanding of the purpose and future needs of the company with regards to data, working closely with Team Data and Business Intelligence
  • Evaluate design alternatives and perform cost benefit analysis
  • Create, develop and maintain appropriate descriptions of company data and data structures, including: data definitions, dictionaries, models, data mappings, data flow diagrams, etc
  • Define and split architectural epics into features for the program backlog specifically focusing on data
  • Be the focal point for research into new data technologies and design
  • Serve as the technical governance representative within cross functional teams to make appropriate system and component level design decisions during the implementation phases, ensuring visibility through the technical governance process
  • Be hands on and able to lead and perform technical spikes to prove out product ideas
  • Oversee and provide quality assurance on all data designs with third parties
  • Survey, evaluate and recommend toolsets, systems and solutions in response to current and future business need
  • Highly motivated, a quick learner, able to work independently or in a team and drive solutions with minimal supervision
  • Flexible: capable of juggling multiple priorities and willing to do what it takes to meet critical deadlines
  • Able to show strong written communication skills including design documentation proof of concept and prototype analysis and documentation
  • Able to have a proactive appoach and be able to take responsibility to act and think laterally to rapidly solve problems or identify opportunities as they arise
  • Practical knowledge of applying some of these techniques into practice : large scale data migration, data segmentation, encryption, PII data implications, data mining concepts, context analysis and knowledge engineering theory
34

Data Architect Resume Examples & Samples

  • Drives the architecture for key cross team / cross PD projects (via architecture/design documents and developing code key modules)
  • Establishes software development patterns and best practices (via examples and shipping code)
  • Focuses on quality by implementing a high-value test automation frameworks and using continuous delivery to optimize the flow of software delivery and enabling fast and reliable deploys
  • Continuous delivery and Dev Ops experience - infrastructure automation, monitoring, logging, auditing and security implementation and practices
  • Ensures that all relevant project teams follow a common set of principles and patterns and utilize a standard set of technology frameworks and libraries
  • Provide leadership across the Architecture community to ensure solutions are built in alignment with platform principles and standards
  • Proven knowledge of successful design, architecture and development in data platforms using Hadoop ecosystem
  • Deep knowledge of HBASE and Cassandra technologies is a big plus
  • ​BS/MS in Computer Science/Computer Engineering, Science, Math
  • A minimum of 10 years of experience in architecture and development, 5 years with experience in Java/J2ee specific is required
  • A minimum of 3 years experience with Hadoop and related technologies is required
  • A minimum of 3 years experience with RDBMS development (Oracle, DB2, etc.) is required
35

Data Architect Resume Examples & Samples

  • Provide expert guidance and consultancy in all matters relating to information management
  • Collaborate broadly with business analysts, developers, DBAs and architects to support business analysis & gain understanding of the business data needs
  • Create a robust, sustainable data/information architecture that supports requirements and provides for expansion given budgetary constraints and availability of data and skilled resources
  • Create conceptual, logical and physical data models in support of the business needs
  • Ensure data models are fully documented and appropriate data dictionaries are created
  • Provide information architecture and data modeling support and mentoring to development team members
  • Independently conducts moderate to highly complex assignments with minimal guidance and little or no supervision
  • Create mapping specifications from source to target
  • Communicate physical database designs to database administrator and ensure consistentcy between data models and the implemented databases
  • Develop data modeling standards(naming conventions, model patterns etc.) and ensure adherence to the standards
  • Provide regular coaching & guidance to less experienced analysts
  • Provide solution architecture guidance in data related aspects of systems development
  • Define and document data architecture for operational databases, reporting and provisioning platforms, including the physical components and their functionality
  • Promote the goals of data integration, data stewardship, data quality and governance
  • Implement data governance policies and provide leadership in the advancing the practic and articulating the value
  • Provide recommendations into the selection, use and positioning of hardware, storage, and software products to support data architecture requirements
  • Provide leadership in researching and architecting emerging technology solutions to meet business objectives
36

Data Architect Resume Examples & Samples

  • Determine the data architecture from data sources to data integration and distribution for asset management data domains – clients, products, instruments, books & records etc
  • Own the data architecture and oversight of core data platform, to facilitate Master Data Management, Meta Data Management, Data Quality Management, Data Integration, Data Distribution and Reporting / Business Intelligence. The core data platform would be a multi-purpose solution serving the needs of several asset management functions
  • Collaborate with relevant business and functional heads to ensure alignment with tactical and strategic goals
  • Partner with vendors and internal IT to deliver the IT architecture
  • Collaborate with IT team to develop a phased delivery plan for the target architecture
  • Present the architecture, choice of technology (internal and external) and delivery plan to AM Steering Committees to get scope and budget approvals
  • Provide regular advice and direction during program execution
  • Partner with UBS Group architecture teams to ensure reuse and adherence to firm principles
  • Partner with Information Security Officer to ensure compliance with divisional and regional rules for data security and encryption
  • 12+ years of diverse experience in designing and managing innovative data solutions beyond ETL and Warehousing within Financial Services
  • Proven experience in managing complete SDLC from architecture to delivery
  • Proven experience in MDM implementation
  • Deep knowledge of Client, Product and Instrument data domains in Asset Management
  • Broad knowledge of different database technologies beyond RDBMS - Columnar, JSON/XML, NoSQL, Hadoop
  • Broad knowledge of vendor capabilities in data management solutions – MDM, Data Federation, Big Data, Data Quality, Business Intelligence etc
  • Hands on experience in a Big Data solution, Data Quality solution, Meta Data management would be preferred
  • Excellent communication skills to explain technical designs to non-technical colleagues
  • Excellent interpersonal skills to work with other domain architects, IT and functional heads
  • Maturity to participate in multiple complex programs at the same time in an agile environment
  • Ability to handle teams working in multiple sites (onsite, offshore, near shore)
  • LI-Priority
37

Data Architect Resume Examples & Samples

  • Have 3-5 years experience in leading 5-10 member teams
  • Agile development experience is an asset
  • Must have experience dealing with multiple groups such as enterprise architecture, enterprise infrastructure, information securing and business partners
  • Must have experience leading / facilitating meetings
  • Must have good communication & presentation skills
  • Must have experience in leading production deployments
38

Data Architect Resume Examples & Samples

  • Designs, develops, manages and/or updates data models (both logical and physical) of the staging, data warehouse and data mart areas
  • Coordinates collection of business requirements for data needs
  • Captures and maintains metadata and data dictionaries for BI data stores
  • Works with DBAs to migrate schema changes between development, QA and production environments
  • Designs schemas for optimal query performance on the Netezza platform
  • 6+ years of experience as a data architect in large-scale, complex BI environments, with numerous data sources, BI applications, and thousands of users
  • 4+ years of experience with ERwin Data Modeler or similar tools
  • 4+ years of hands-on experience with large-scale data warehousing MPP platforms such as Netezza and/or Teradata
  • Experience with ELT (Extract-Load-Transform) data integration methodology
  • Familiarity with BI tools such as MicroStrategy and/or Tableau
39

Data Architect Resume Examples & Samples

  • Build a data governance approach across our Institutional finance
  • Establish data/information capabilities and services within Enterprise Architecture
  • Set appropriate standards, guidelines, and frameworks for enabling agility, stability, and value
  • Provide expertise on specific project initiatives to guide and assist with high-level data modelling design
  • In-depth practical understanding of data modelling and design, including data flow mapping, canonical formats, lineage tracking, data quality assurance, modelling from heterogeneous sources (experience with Data Vault modelling desirable)
  • Extensive experience with established and emerging data technologies including practical experience with data warehouses, RDMS, NoSQL/NewSQL and related technologies
  • Experience with establishing data governance desirable
  • Experience with institutional financial data models (trading, settlements and risk management) desirable
40

Data Architect Resume Examples & Samples

  • Lead, participate in gathering business requirements, analysis of source systems, define underlying data sources and transformation requirements, design suitable data model, and develop metadata for the Data Warehouse/Analytical Reporting
  • Work with architect peers at Universal Parks and at NBCUniversal to develop and leverage appropriate data/information architecture strategies that enable business goals
  • Work effectively with Technology Operations/Infrastructure teams to ensure a seamless transition of the completed data architect solution to the final data platform for its continued operations and maintenance
  • Develop Entity-Relationship / Dimensional Data Models for relevant projects
  • Document data management processes and mentor other IT staff to develop data analysis and data modeling skills
  • Develop and ensure compliance with data modeling, data Integration , Business Intelligence, Data Quality standards, Master Data , managing the enterprise data model and managing all metadata in the current data warehouse environment
  • Strong knowledge of systems development and project management Agile methodologies/processes
  • Experience with one or more relational databases such as DB2, Teradata, SQL Server etc.and NOSQL databases
  • Familiarity with ETL/Data Quality tools such as IBM’s Data Stage/Quality Stage, Informatica Power Center etc
  • Familiarity with reporting/ad-hoc analysis tools such as MicroStrategy, Cognos, Business Objects, Tableau etc
  • Familiarity with one or more statistical modeling tools by SPSS or SAS etc
  • Must be able to utilize and effectively communicate functional and technical components of an initiative to applicable parties both verbally and through documentation
  • A plus includes previous experience with DBA activities including high performance physical database design & performance tuning
41

Data Architect Resume Examples & Samples

  • Defines the data and process architectures for major areas of development. This includes an assessment of the current environment, a roadmap for future development, the impact of the development and the rationale for key decisions
  • Communicates detailed technical information in both written and verbal form across a wide range of audiences, including business stakeholders, users, developers, project management, and other architects
  • Collaborates with colleagues, customers, vendors, and other parties to understand and develop architectural solutions across the enterprise
  • Leads and/or facilitates the development of appropriate standards and best practices, in addition to the paths by which they may be achieved and monitored
  • Develops a sound understanding of existing systems and processes, their strengths and limitations, and the current and future needs of the environment in which they exist. Provides vision on how they may be improved and developed
  • Understands and explains the interactions between systems, applications, and services within the environment, and evaluate the impact of changes or additions to the environment
  • Participates in the evaluation and/or selection of solutions or products, including requirements definition, vendor and product evaluations, testing and benchmarking
  • Acts as a local expert for areas of domain expertise
  • Presents proposed technologies and processes for peer review and critique, providing rationale and explanation of decisions and assumptions, and accepting suggestions and improvements
  • Leads a technical team in the delivery of key projects or components when necessary, providing task definition, quality review, and accurate representation of project status
  • Bachelor's degree in Computer Science, Engineering, or related discipline with an IT or similar focus
  • At least 10 years of experience in design, specification, deployment, and maintenance of large systems, preferably across multiple business functions
  • Demonstrated competency developing efficient, effective solutions to diverse, complex problems
  • Demonstrated competency in strategic thinking, communication, and leadership
  • Demonstrated experience in designing systems and/or processes, including written specifications and documentation
  • Excellent written and verbal communication skills; able to communicate effectively across all levels of the organization; able to communicate ideas precisely and accurately
  • Able to form and express reasoned opinions; able to communicate and collaborate with others to reach consensus or compromise when necessary
  • Able to define a vision and set realistic goals toward achieving it
  • Comfortable with ambiguity - able to define alternatives to progress toward vision
  • Able to resolve the theoretical with the practical and to balance cultural and maturity-level reality against vision
  • Able to use computer for extended period of time
  • ECommerce, retail and/or catalog business experience a plus
  • Demonstrated experience in several of the following skills/experiences is necessary
  • Modeling of complex entities and services
  • Creation and review of non-trivial data and process specifications
  • Content classification (canonicalization, taxonomies, organization)
  • Content and/or Document Management
  • Web Information Architecture, including REST architectural principles, RDF
  • Creation of data validation and maintenance processes (interactive and batch)
  • Object-oriented design and development (Java, C++, etc.)
  • Internet technologies (TCP/IP, HTTP, HTML, CSS, XML, SMTP, JavaScript)
  • ECommerce applications and/or support services
  • Retail/Catalog systems
  • Database storage and interaction (SQL, Oracle, JDBC, "no-SQL" alternatives)
  • Working knowledge of security and cryptography (PKI, Hashing, SSL, Encryption)
  • Data manipulation/automation (scripting/filtering, ETL, XSLT)
  • Scripting and automation languages and support tools (sh, perl, python, awk, sed, ssh, etc.)
  • Communication protocol implementation and design (SMTP, HTTP, Telnet)
  • Digital imaging and image processing (file formats, batch processing, color
42

Data Architect Resume Examples & Samples

  • Create conceptual, logical and physical data models
  • Meet with business stakeholders to gather and analyze requirements
  • Meet with Information Systems (IS) stakeholders to understand and
  • Bachelor’s or Master’s degree in Computer Science or Computer Information Systems
  • At least 5 years work experience in data modeling and integration, preferably in financial services
  • At least 3 years work experience in data warehousing projects using IBM DB2, Oracle, or
43

Data Architect Resume Examples & Samples

  • Participate in project scope definition, data architecture development and project planning in coordination with other members of the Data warehouse team
  • Create design pattern templates for deliverable objects
  • Define and implement ETL development standards and procedures and provide leadership and mentoring to less senior data warehouse developers
  • Provide on-going support of existing warehouse as well as continually re-evaluate current processes and techniques for increased efficiency and maintainability
  • Ensure completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements
  • Clear understanding of data models for implementing data warehouse projects using ETL tools
  • Define and implement ETL tool configuration
  • Maintain an awareness of existing, new and emerging data warehousing technologies
  • Provide detailed estimates of time for software development efforts
  • Ensure ETL quality through reviews and knowledge sharing. Ensure effective ETL functional decomposition into deliverable objects
44

Data Architect Resume Examples & Samples

  • Successful track-record in leading and implementing large projects
  • Hands-on data warehouse architect experience
  • Demonstrable leadership skills
  • 7+ years of financial industry experience designing and implementing DW/BI solutions
  • Experience with ETL tools, including Informatica PowerCenter and Business Intelligence tools
  • Experience in Commercial Lending products such as loans and guarantees, market products such as Derivatives and Fixed Income Securities
  • Java, Perl/Shell scripting, FIX protocol, Equities knowledge
45

Data Architect Resume Examples & Samples

  • Take ownership of data models of all data science projects in ICSV
  • Create and enhance Relational, OLAP and NoSQL data models
  • Guide data modeling efforts on storage technologies like HBase, Cassandra, MongoDB, as well as DWH technologies like Teradata, Vertica
  • Research and Innovate using emerging open source storage technology stack like Opentsdb, Rocksdb, Druid etc
  • Master the enterprise data vocabulary
  • Open Source contributions...you may be altering code maintained as an open source project
  • BS, MS in Computer Science or equivalent along with hands-on experience in dealing with large data sets and distributed computing in data warehousing and business intelligence systems using Hadoop
  • Foundation in systems development: The Data Architect should understand the system development life cycle; software Project Management approaches; and requirements, design, and test techniques
  • Depth in Data Modeling and database design across various disciplines like relational Data Modeling, OLAP Data Modeling (ex:- Star Schema) and NoSQL Data Modeling (ex:- HBase, Cassandra etc)
  • Breadth in established and emerging Data technologies. In addition to depth in established Data Management and reporting technologies, the Data Architect is either experienced or conversant in emerging tools like Columnar and NoSQL Databases, Predictive Analytics, Data Visualization and Unstructured Data
  • Ability to conceive and portray the Big Data picture: When the Data Architect initiates, evaluates and influences projects he/she does from the perspective of the entire organization. The Data Architect maps the systems and interfaces used to manage data, sets standards for Data Management, analyzes current state and conceives desired future state and conceives projects needed to close the gap between current state and future goals
  • Ability to astutely operate in the organization: Well respected and influential, able to emphasize methodology, modeling, and governance, technologically and politically neutral, articulate, persuasive, a good salesperson and enthusiastic
46

Data Architect Resume Examples & Samples

  • Demonstrated ability to work under tight deadlines
  • Strong experience with Data Modeling, SQL, DB2 and Oracle
  • Java, Perl/Shell scripting, FIX protocol, and Equities knowledge
47

Data Architect Resume Examples & Samples

  • Lead the development and execution of GWT data architecture strategy/target state including principles, best practices and overall integration and centralization approach
  • Work with GWT technology teams and solution architecture group to analyze data requirements (functional and non-functional) and provide data architectural designs solutions/reviews for business application and technology initiatives
  • Model and design the application data structure, storage, and integration in collaboration with Solution Designers and DBAs for operational systems, web APIs, Data Warehouse and BI analytics
  • Acting as an internal consultant on all data architecture related activities while participating in all phases of the project development life cycle
  • Develop, maintain, and refine data models (conceptual, logical, and physical)
  • Work with the enterprise architecture group in terms of how GBM aligns and integrates with their data capabilities including the Enterprise Data Lake
  • Mentoring and coaching other peers and team members on data architecture issues
  • Providing suggestions for viable solutions to data management and architecture problems of high complexity
  • Advanced knowledge of data architecture principles and best practices
  • Advanced knowledge of data modeling in relational, dimensional (Stars), multidimensional (Cubes), and non-structured (BigData) environments
  • Advanced knowledge of data integration patterns and procedures (ETL)
  • Advanced knowledge of financial services data domains and technology standards: processes, applications, batch vs. real time, etc
  • Knowledge of an industry standard financial data model (e.g. FSDM) plus data messaging formats (e.g. xml/fpml ) is an asset
  • Advance knowledge of architectures supporting data integration for different data consumption requirements: operational data store, data warehouse, data marts, analytical data stores
  • Advanced knowledge of data mastering (MDM) principles (client master, security master, etc)
  • Understanding of data governance principles
  • Strong advocate for the reusability of architecture and processes by new business initiatives across all areas
48

Data Architect Resume Examples & Samples

  • Define right technology that suites our data at rest needs
  • Define reusable schemas to represent data on the wire
  • Interact with business experts and define conceptual data model
  • Understand existing applications, how data is moving between systems and optimize
  • Follow industry standard design patterns to define schemas & data models
49

Data Architect Resume Examples & Samples

  • Very good knowledge on Oracle performance and tuning and development which includes writing PL SQL, procedures, triggers, functions and packages
  • Good knowledge on Sybase performance and tuning and development which includes writing procedures, triggers etc
  • Knowledge on any scheduling tool like CA or Autosys
  • Good knowledge on Informatica and other ETL tools like Pentaho etc
  • Knowledge on any Big Data Technology like Greenplum, Hadoop etc. is desirable
  • Should have very good communication skills
50

Data Architect Resume Examples & Samples

  • A meticulous approach to work and an eye for detail
  • Ability to work in a high energy environment with demanding deadlines
  • Able to work well alone as well as within a multidisciplinary team via email as the primary form of communication with the team
  • Self-starter and highly motivated, with a demonstrated ability to meet deadlines
51

Data Architect Resume Examples & Samples

  • 5+ years of experience working in a Data Architecture role; SQL Database Administration and Development.; 2+ years of experience with JavaScript/Node.js or other scripting tools
  • Excellent knowledge of data modeling, master data management and database design from conceptualization to database optimization
  • Experience with emerging tools like columnar databases, predictive analytics, data visualization, and unstructured data
  • Past experience working in both Windows and Linux operating environments
  • Strong analytical skills; ability to document business data requirements in complete, accurate, extensible, and flexible
  • Supply Chain and Consumer Goods Retail / Distribution experience
52

Data Architect Resume Examples & Samples

  • Work together with our architect/analyst colleagues in BEX and abroad to define and implement data related components for Credit Risk
  • Lead design workshops for data related items
  • Design and implement the performance and scalability aspects of the data related components
  • Expert knowledge in data architecture and data modelling
  • Expert in DB technology; Oracle is a must
  • Expert level in SQL and PL/SQL
  • DWH experience
  • Reporting tools experience (e.g. Business Objects, Cognos)
  • Data modelling, data modelling tools (e.g. Power Designer)
  • Data integrity tools
53

Data Architect Resume Examples & Samples

  • Contributing to the overall strategy and roadmap for data architecture for the COO function, capturing the top-down thoughts of the chief data architect and broader CDO function
  • Coordinating with senior architects and stakeholders in each area of the COO, including the Group Technology Office (GTO), the Group Data Management Office (GDMO) and other COO functions
  • Point of integration and ‘clearing’ for all data architecture work products, ensuring that work done by each area and ensuring projects all “fit together” into a coherent group-wide picture
  • Liaison point for data architecture to the various initiatives developing data quality frameworks and governance
  • Supporting the development of an enterprise-wide “systems of record” catalogue to capture and maintain the approved data sources and access/distribution mechanisms for all data classes group-wide
  • Partnering with the Chief Technology Office (CTO) organization, solution architecture, and engineering to ensure best use of standards for the key data use cases / patterns tech standards
  • Supporting the key data control functions (GDMO, CISO, GDP, CSBC) in ensuring a joined up approach to Level 1 and Level 2 data controls and their implementation in GTO
  • Supporting the management of the Enterprise Data Taxonomy within the scope of data managed by COO
  • Supporting data architecture toll-gates and quality-gates within the emerging Deutsche Bank ‘programme governance framework’ used for investment and execution governance across GTO
  • Supporting data architecture toll-gates and quality-gates within the emerging Deutsche Bank ‘software development lifecycle&#8217
  • Supporting the overall initiatives of the Chief Data Office, including the data architecture professional framework, training and set-up of communities of practice group-wide spanning the sub-disciplines of data architecture
54

Data Architect Resume Examples & Samples

  • Oversee project deliverables thru the whole system development life cycle process and manage the delivery of the project by creating an overall project plan
  • Review business requirement documents and collaborate with the business users regarding the project requirements
  • Design and develop technical solution to provide business users with functionalities requested
  • Write technical specifications for the delivery of the technical solution
  • Assign programming specifications to onshore and offshore developers, supervise the delivery of quality program codes and manage the timely delivery of the project
  • Conduct code and standard checks, including code review and peer-testing for programming modules developed
  • Review, approve and ascertain execution of the test scripts and review test results in development environment prior to promotion of code to QA environment
  • Discuss changes and enhancement to QA team and provide support to QA testers in preparation for QA testing
  • Educate business users on new functionalities developed and prepare the environment for user acceptance testing
  • Manage production implementation of the project
  • Conduct post production implementation checkouts to ensure successful delivery of the project to production
  • Communicate the system changes and enhancements to the business users and to downstream applications impacted by the change
  • At least 7 years of hands-on technical experience in areas of development, design and production support in mainframe technologies
  • Strong interpersonal skills, ability to interact and collaborate with business users and downstream application owners
  • Ability to work on a fast-paced environment and availability to work on extended hours
55

Data Architect Resume Examples & Samples

  • Demonstrates ability to forward & reverse engineer databases to established technical and metadata standards
  • Demonstrates ability to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and staff
  • Demonstrates strong verbal and written communication skills
  • Demonstrates ability to create and maintain conceptual, logical, physical and dimensional models
  • Demonstrates strong time management and prioritization skills
  • Demonstrates advanced understanding of operational and analytical data architectures; of relational and dimensional theory; and Software Development Life Cycles and development methodologies
  • Demonstrates ability to define data management standards and methods
  • Demonstrates awareness of DAMA-DMBOK
  • Demonstrates awareness of Total Quality Information Management (TQIM) principles and practices
  • Demonstrates ETL architecture and development skills
  • Demonstrates Oracle / DB2 / SQL Server database design skills
  • Demonstrates financial industry knowledge
56

Data Architect Resume Examples & Samples

  • Wealth Management Network
  • Design, create, and manage Investment Services’ data architecture vision
  • Define how data will be stored, consumed, integrated and managed by IT systems and applications using and processing that data
  • Work closely with Enterprise Technology Group (ETG) in the design and support of the data platform
  • Perform application query tuning, review and feedback
  • Recommend database performance tuning, review and feedback working with ETG
  • Develop and maintain a data dictionary to support an Enterprise Data Management program. Focus on data quality, accountability and governance
  • Support Operations in troubleshooting of upper region issues in application database areas
  • Develop change control processes for delivering quality deployments of database objects
  • Research, design, and recommend technical solutions
  • A minimum of four to six years of experience working with mission critical database systems (like Oracle and SQL Server)
  • Logical data modeling and physical database design
  • Production application hosting operations support experience
  • T-SQL and Stored Procedure performance tuning
  • Linux and Microsoft server technologies
  • Working knowledge of Oracle and SQL Server
  • Working knowledge of TCP/IP and related protocols
  • Knowledge of high availability systems design and disaster recovery strategies
  • Familiarity with No-SQL database solutions (Geo-distributed, Hadoop, etc) is a plus
57

Data Architect Resume Examples & Samples

  • Act as an advisor & recommend actionable data architecture solutions in support of client initiatives
  • Define data architecture solutions using Big Data and Data Science
  • Define and drive adoption of data management and data modelling processes
  • Define data governance including operating models for client data teams and their wider organisation
  • Lead technology selection, evaluation, recommendation and configurations
  • Lead the data architecture of client engagements, which may include applications, infrastructure and/or database strategies
  • Build and maintain effective relationships with client data architects and technical leads
  • Provide proactive technical oversight and advise to DBA and development teams fostering re-use, scalability, stability, and operational efficiency of data/analytical solutions
58

Data Architect Resume Examples & Samples

  • Understand and translate business requirements into data models, facilitating data modeling sessions with business stakeholders and technical partners. Translate the business and user requirements into system requirements
  • Create or update conceptual, logical and physical data models using best practices and company standards. Define, design, and oversee implementation of standards and best practices involved in modeling, describing data entities and relationships
  • Recommend opportunities for reuse of data models and data where appropriate. Oversee design of information solutions, ensuring that they align with business and IT strategies, maximize reuse and integrate well with existing solutions
  • Generate DDL scripts for deployment to QA and Production environments. Ensure design and construction meet quality standards and that the testing and operational readiness tasks are conducted and produce quality results
  • Perform reverse engineering of physical data models from databases and SQL Scripts. Perform software analysis, code analysis, requirements analysis, software review, identification of code metrics, system risk analysis, software reliability analysis
  • Bachelor’s degree in appropriate field (Finance, MIS) or two year degree with equivalent experience
  • 10+ years' experience of Data Architecture and Data management Services, Data Governance, Data Quality processes and Data Lifecycle, Data Access and Privacy Principles
  • 5+ years leadership experience in design and deployment of Data Architecture within a large Enterprise environment, in combination with
  • 4+ years of data analysis, modeling and architecture experience
  • 4+ years of DDL&DML programming experience
  • 2+ years in ERWIN or ERStudio and Visio experience
  • Demonstrated Complete System Development Life Cycle experience for large scale complex projects with various industries
  • Knowledge of and experience applying data modeling techniques and best practices
  • Excellent relationship building skills; ability to interface with a variety of associates
59

Data Architect Resume Examples & Samples

  • Lead the Data Services team in implementing best practices for EDW data modeling, design, development, testing, production support, and end user training
  • Design and build data integration processes between Nordstrom and NR|HL systems
  • Partner with the stakeholders to understand business objectives and requirements
  • Work in a highly Agile/Scrum/Kanban environment to support incremental delivery of functionality
  • Ensure the quality of all EDW data inputs and outputs
  • Act as the gatekeeper to EDW change requests and actively seek to reduce risk and minimize downtime
  • Travel occasionally (around once per quarter) to Seattle to participate in integration discussions
  • Provide occasional on-call production support of ETL processes after hours
  • Minimum 6 years of experience in data warehouse architecture design, logical and physical data and ETL process modeling
  • Extensive experience in all phases of Data Warehouse development
  • Expert SQL skills
  • Experience with various ETL platforms, ideally including Pentaho Data Integration (Kettle)
  • Experience with Amazon Redshift or other MPP database platforms
  • Experience supporting BI tools
  • Must be self-motivated, energetic, detail oriented and a team player
  • Superior verbal and written presentation skills are required
  • Demonstrate skills to suggest and lead others to think critically in discussions
  • Python, Perl, or Java
  • Statistical programming (e.g. R, SAS)
  • Experience using AWS for data applications (e.g. EC2, S3, Redshift, RDS, Data Pipeline)
  • Monitoring tools such as Nagios
60

Data Architect Resume Examples & Samples

  • Minimum of 5+ year’s of business requirements analysis and information modeling (logical and physical) of key financial products (Bilateral, OTC & exchange traded, centrally cleared) and concepts (e.g. positions, trades, financing transactions, future flows, collateral/margining) in the securities/financial industry
  • Minimum of 5+ years in handling Oracle based Physical Modeling
  • Exposure to Big data is a plus
61

Data Architect Resume Examples & Samples

  • Maintain our Enterprise Data Model that describes how data sourced, processed, stored, and utilized
  • Identify and recommend appropriate techniques / tools for data acquisition and retention
  • Develop innovative data management solutions
  • Define our data governance strategy
62

Data Architect Resume Examples & Samples

  • Experience with Database Administration for MongoDB, Postgres, and MSSQL
  • Experience in performance tuning and optimization
  • Experience with Data modeling and data flow design
  • Knowledge of HA and DR options for MongoDB, Postgres, and MSSQL
  • Knowledge of indexes, index management, and statistics
63

Data Architect Resume Examples & Samples

  • Coordinate of Information Architecture activities across relevant Technology teams
  • Integration of Data Modelling output across the Technology Organization
  • Ensure alignment of Controlled Vocabulary, Logical Data Modelling and physical data modelling activities
  • Establish processes for continual integration of metadata and joining it with existing BAU processes within Technology
  • Implement progress and quality assessment measures for metadata
  • Maintain close alignment and integration with Firmwide Chief Data Office models, processes and standards
  • Oversight for the appropriate training and support of individuals and teams in their understanding Information Architecture responsibilities
  • Hands-on leadership experience in introducing and managing governance and new operational processes for metadata in a complex environment
  • Prior experience and familiarity with methodologies and tools (e.g. Logical Data modelling, UML, MagicDraw, RDF)
  • Proven ability to lead, influence, and drive decision making in a federated, multi-stakeholder environment
  • Excellent communication skills, and experienced in presenting to senior audiences that include technical and non-technical members
  • B.S./B.A. required; MBA or equivalent is desirable
64

Data Architect Resume Examples & Samples

  • Maintains a comprehensive view of current information assets, program/project architecture, and future information needs while delivering data effectively and efficiently across projects and programs
  • Gathers information for planning and design of new or upgraded systems
  • Aids the evolution of enterprise product and system roadmaps
  • Collaborates with departments to implement improvements in processes and with cross-organizational teams to determine Business Support System/Operations Support System support for business requirements
  • 1-2 years writing SQL queries
  • 1-2 years' experience with an ETL tool (preferably Informatica or SSIS)
  • Experience writing stored procedures
  • Understanding of data modeling and data warehouse concepts
  • Experience with Teradata or SQL Server is preferred
65

Data Architect Resume Examples & Samples

  • Create and maintain the Enterprise Data Model at the Logical and Physical Level
  • Steward of Enterprise Data Lifecycle Management including data storage, data retention, backup/recovery and data security technologies
  • Manage data design standards, master data and metadata management
  • Manage data governance by bringing together stakeholders and driving data quality
  • Leads strategy & architecture for Data Management
  • Champion & drive data architecture solutions from conception to implementation
  • Participation in ARF architecture reviews
  • Master's degree in CS/EE or equivalent experience, 7 ~10 years of Data Architect / Modeling experience
  • Demonstrated experience in design and implementation of an enterprise data model, metadata solution and data life cycle management in both RDBMS, Big Data environments
  • Excellent understanding Oracle technologies and related products, strong experience using Oracle 11g, 12C RAC, ADG, Data Partition
  • Good knowledge of data modeling tools like ER Studio/ERwin
  • Expertise in information and integration architecture and technologies
  • Domain knowledge of eCommernce, Data Warehousing, Financial, Account system
66

Data Architect Resume Examples & Samples

  • Implement data models, database designs, data access and table maintenance codes
  • Resolve database performance issues, database capacity issues, replication and other data issues
  • Work with other Information Architects and Database Designers to implement the physical data model
  • Develop the database performance monitoring process and analyze data for optimization opportunities
  • Work with business users and other systems up/downstream to gather and define data requirements
  • Conduct data analysis
  • Design and architect data modeling
  • Leverage tools to view and classify complex data
  • Program in SQL to support business enhancements to the WebServices middle tier
  • Write complex SQL queries to provide critical business analysis and reporting
  • Participate in build of strategic data processing platform by developing semantic models, tracing complex data lineage and loading data into metadata repository
  • Develop and use reporting and analytic tools to gain insight into complex data
  • Design and Code ETL solutions to combine data from multiple sources
  • Minimum 7 years of work experience as a Data Architect/Analysis
  • Expert level SQL query and stored procedure development experience (DB2 preferred)
  • 7+ years SQL programming and implementing relational database models (DB2 preferred)
  • Experience working with ETL tools, data mapping, like Informatica, Ab Initio
  • At least 3 years ETL experience
  • Experience with data architecture, data management and/or database administration a must
  • Experience with vendor reporting products such Ab Initio, Cognos is useful
67

Data Architect Resume Examples & Samples

  • Support database design requests in DB2, Teradata, Oracle, AS400 or SQL Server
  • Manage the Ford Credit Database changes using the DBCR system
  • Develop Data Definition Language (DDL) to implement and maintain database structures Migrate
  • Develop conceptual, logical & physical data models
  • Perform impact analysis on data structure changes
  • Define and enforce database standards including SPII & data compliance
  • Review SQL for potential performance improvements
  • Developing new data structures in online transaction (OLTP) or data warehouse (OLAP) database
  • Experience with managing the Database changes
  • Able to multi-task and be flexible to respond to changing priorities
  • Excellent interpersonal skills to succeed with internal and external teams and business customers
  • Effective verbal and written communication and presentation skills
  • Ability to work closely with application developers to ensure business goals succeed
  • Must demonstrate good judgment and pragmatic approach to delivering a solution that optimizes architecture activities across company needs, considering business constraints and technological realities
68

Data Architect Resume Examples & Samples

  • Provide IT cost modeling support
  • Develop whitepapers and briefings
  • Demonstrate problem solving skills
  • Working in small teams
  • Mandatory 1 year minimum experience designing, developing, and building cost models or providing information management support
  • Mandatory B.S./B.A. degree, or higher, in Mathematics, Statistics, Accounting, Finance, or a related field
  • Proficiency in MS Excel, Word, and PowerPoint
  • Ability to work independently under tight deadlines with changing priorities
  • ABC Methodologies
  • SAS ABM Experience
  • Information/Data Management
  • Business Process Mapping
  • Executive Reporting
69

Data Architect Resume Examples & Samples

  • 10+ years of relevant technology architecture consulting or industry experience
  • 3+ years industry experience within any of the following industries, Banking, Insurance
  • Proficient with one or more of procedural database language, building functions, procedures, triggers, database types in DB2 on Mainframe
  • TOGAF 9 Foundation
  • Solution architecture expertise
  • Quality assurance methods
  • Test management methods and tools
  • Demand and capacity planning
  • Estimation methods
  • Development of statements of work and/or client proposals
  • Experience with program leadership, governance and change enablement
  • Lead workshops for client
  • Ability to scope out the effort and cost for an enterprise reporting solution
  • Ability to define how an enterprise information system will align with the organization’s business and strategic objectives
  • Ability to manage multiple teams on a data warehousing engagement and not only
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint, etc.) and consulting skills
  • An advanced degree in the area of specialization is preferred
  • Experience in leading, coordinating, managing teams formed of more than 5 persons and the ability to lead, coordinate, manage teams formed of up to 15 persons
70

Data Architect Resume Examples & Samples

  • Understands business requirements and translates into technical solutions
  • Applies technical knowledge of technology and industry trends to develop, implement and maintain complex data solutions
  • Leads the resolution of complex data problems for large/complex projects
  • Elicit review, and validate data requirements, including: Data integration (ETL, EAI, and web services), Meta data, Modelling (Conceptual, Logical, and Physical), Data delivery, and Business intelligence. Participate in research and method selection for solutions, being actively involved in design meetings with stakeholders
  • Designs and builds the data architecture and data integration layers
  • Leads in data quality analysis / data profiling, to produce a data quality assessment (and baseline)
  • Respond to ad hoc analysis requests for data and analytics needed by senior management
  • Bachelor's degree in Data Base Management/Systems Engineering or related Engineering. Specialization, Masters or PhD level degree is desirable. Additional formal studies will be a plus
  • SSIS (SQL Integrating Services) / SQL / PL SQL language, MS SQL Server, Windows Server and Unix/Linux Operating Systems, Programming Languages (Minimum of 3 to 5 years of related work experience)
  • Experience working on Service Operations with a high customer orientation is strongly preferred
  • Ability to effectively communicate design proposals and architectures, and negotiate options at senior leadership levels
  • Expert knowledge and experience with data modeling, data warehousing, dimensional modeling, big data solutions and ETL development
  • Solid track record of transforming concepts and requirements into workable products and solutions is a must
  • Expert knowledge of software development life-cycles with its principles, practices, strategies and tactics
  • Excellent project management skills and ability to execute on multiple projects simultaneously
  • Familiarity with the “Knowledge Hierarchy” / “Data, Information, Knowledge, Wisdom pyramid”
  • Data literacy: Finding and managing data, cleansing data, appropriately address extremes, outliers, etc., manipulating data
  • Mathematical reasoning; Competent in the interpretation of numeric data, understand and/or practice statistical principles
  • Advanced verbal and written communication skills for writing reports/proposals and making presentations, in particular the ability to clearly and effectively communicate technical results to a non-technical business audience
  • Ability to work independently under a fast-paced environment, comfortable to deliver results under pressure
  • Strong work ethics and collaborative attitude
  • Self/starter Innovative thinker with analytical/problem solving skills
71

Data Architect Resume Examples & Samples

  • 5+ Years Data Architecture/Modeling Experience using Erwin, PowerDesigner, or ER/Studio
  • 3+ Years Data Profiling and Analysis Experience using Informatica or similar data profiling tool
  • 3+ Years Information Integration Experience using leading ETL and/or Data Virtualization tool(s)
  • 3+ Years of Experience with Collecting and Analyzing Business Requirements and Process Designs
  • Influences others without authority
  • Communicates in professional context
  • Navigates large organizational landscapes
  • Presents ideas and concepts effectively
  • Partners closely with stakeholders and peers
  • Demonstrates a sincere sense of urgency
  • Understands the “big picture” and constituent parts
  • Collaborates effectively with others
  • Information Architecture
  • Data Virtualization/Abstraction/Federation
  • Data Governance & Standards
  • Data Cleansing
  • Cisco Information Server (aka Composite)
  • EA Sparks
  • ArchiMate
72

Data Architect Resume Examples & Samples

  • Provide analysis, design, training, maintenance, tuning, documentation, and implementation of enterprise class logical data models and physical database objects
  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree in computer science or equivalent with two to four years in a senior database analyst or architect position; OR appropriate combination of education and experience
  • Must have the ability to manage multiple projects and requests at one time
  • Experience with Healthcare Data Warehousing
73

Data Architect Resume Examples & Samples

  • 10+ years’ experience in designing high performing and scalable data models
  • 1+ years of experience in Financial Services industry
  • 1+ years of experience in understanding mainframe technologies
74

Data Architect Resume Examples & Samples

  • Design and develop a distributed data processing platform using Big Data technologies
  • Provide ongoing maintenance, support and enhancements in existing systems and platforms
  • Collaborate with product managers, data scientists, business users and other engineers to define requirements and design solutions
  • Influence the team by providing recommendations for continuous improvement
  • Mentor other engineers in the team regarding technology and best practices
  • 10+ years of hands-on experience working with software development and enterprise data warehouse solutions
  • 4+ years of hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Hive, Pig, Oozie, Map Reduce, Spark, Shark, Kafka, Flume, etc
  • Experience with commercial ETL platforms like Informatica, SSIS, Talend, etc
  • Experience working with, processing and managing large data sets (multi TB scale)
  • Experience with test driven development and automated testing frameworks
  • Capable of delivering on multiple competing priorities with little supervision
75

Data Architect Resume Examples & Samples

  • Lead in the analysis and development of logical and physical data models
  • Understand and communicate how data models can be used to support, interact and integrate with other information systems
  • Oversee, direct and/or provide consultation on implementation of data management technologies and platforms
  • Lead the analysis of current data management technologies and platforms to detect critical deficiencies and recommend solutions for improvement. In addition, lead the impact analysis of new technologies and market trends on the current data architecture
76

Data Architect Resume Examples & Samples

  • This role will provide opportunity to lead following activities
  • Hands on partnership with delivery teams for development of International Enterprise Database and Product Data Infrastructure to support global markets
  • Conducting POCs for implementation of new technology concepts within Big Data and Next Gen data Architecture space
  • Partnering with senior business and IT leaders to shape the agenda for business technology programs and for adaption of new architecture within the scope of business funded programs
  • Global implementation of new CRM solution
  • Provides the architectural leadership in shaping strategic, business technology projects, with an emphasis on application architecture. Utilizes domain knowledge and application portfolio knowledge to play a key role in defining the future state of large, business technology programs
  • Utilizes a broad and deep understanding of the competitive landscape and corporate and business unit strategies to provide context for architectural decision making
  • Within area of responsibility, continuously pursues strong knowledge of business technology solutions and maintains understanding of applicable technologies, tools, and services
  • Establishes working relationships with appropriate business technology solution providers (e.g., Salesforce, Charles River, Reuters, etc.)
  • Ensures application implementation solutions support the business objectives (asset gathering, cost optimization, client loyalty improvement), as appropriate
  • Establishes relationships with senior IT and Business leaders for the purpose of advancing proposed application architecture solutions
  • Minimum five years relevant work experience
77

Data Architect Resume Examples & Samples

  • Lead the strategy, architecture and process improvements for data architecture and data management, balancing long and short-term needs of the business
  • Define and maintain a data information architecture and roadmap
  • Provide architectural advice and recommendations specific to internal
  • Expertise and demonstrated skills in design and implementation of an enterprise data model, metadata solution, data security solution, data management solutions and associated tools
  • Expertise in Data Warehousing, Data Management, Big Data, Analytics technologies such as Oracle, Teradata, SAP, RedShift or Hadoop
  • Solid skills in multiple areas of technology such as system design, database design and languages such as Java, Python, Node.js
  • Solid skills in Internet technologies such as IaaS, PaaS, SaaS
  • Advanced expertise Analytics and working understanding of technologies such as SPSS, R, SAS, Tableau, Microstrategy
  • Strong ETL background using technologies such as DTS, SSIS (SQL Server Integration Services), Pentaho Data Integration, command line and other technologies
  • 10+ years technical, enterprise or data architecture experience
  • Strong database design and development experience working in collaboration with full-stack developers and analytics teams
  • Experience in NoSQL technologies a plus
  • Track record of successful large scale technical implementations
  • Experience in successful collaboration with technical teams, functional business lines and third party vendors/contractors
78

Data Architect Resume Examples & Samples

  • Define the overall consolidated data architecture for the BU data exchange
  • Design processes for data governance and authorization
  • Define metadata standards, tooling and procedures for the data analytics team
  • Develop processes for quick data ingestion and extraction
  • Architect and design business intelligence solutions, configuring BI services. Responsible for leading the strategic design and maintenance of business intelligence applications
  • Design dimensional data modeling to suit BI requirements. Ensures that business rules are consistently applied across different user interfaces to limit the possibility of inconsistent results
  • Design and direct the ETL processes, including data quality and testing. Lead data integration in aggregating data from multiple sources into various data stores and warehouses, scheduling data updates and extracts
  • Evaluate, recommend/select data warehouse technologies (e.g., ETL, DBMS, Data Quality, BI)
  • Design and direct the information access and delivery effort for the data warehouse
  • Define and direct the implementation of security requirements for the data warehouse
  • Deploy reports, enhancements. Identifies, researches, and resolves technical problems
  • Provide oversight and mentoring to the BI Development team. Lead and assist programmers, leads, and analysts in designing solutions, resolving design problems
  • Works on internal projects to enhance productivity through ongoing tools development and leveraging new technologies
  • Incorporate appropriate changes from production or test regions into the data warehouse environment
  • Develop methods of ensuring data incompatibilities among systems are systematically eliminated
  • Monitor industry trends and identify emerging technologies that should be evaluated and possibly adopted
  • Ensure that the use of business intelligence applications enhances business decision making capabilities
  • Experience working in a matrixed organization
  • Experience working with sensitive and/or regulated data (PII, PHI, Credit Card Information) and understanding of constraints and limitations of its usages
  • Experience in a tax management services and employment / income verifications environment
  • Experience with Hadoop and related technologies
  • Experience with Microsoft SQL, Oracle RDBMS required
  • Experience with Informix a plus
  • Hands on C# .NET experience
79

Data Architect Resume Examples & Samples

  • Bachelor’s Degree in Computer Sciences, Information Systems or related fields
  • 10+ years of intense technical experience in the areas of data architecture, data modeling, data management, data engineering and/or data governance
  • Excellent communication (both written and verbal), interpersonal skills and experience in presenting to business and technical team including executive management
  • Deep understanding of relational and dimensional database domains as well as extensive knowledge of IT infrastructure, application programming, and web and software applications
  • In-depth hands on experience with one or more of the following are highly desired: MS SQL Server, Oracle, MYSQL, SSIS, SSRS, Informatica, EDI and Web Services
  • Strong background in master data management, metadata management, information life cycle design and development
  • Understands the range of options and best practices for common ETL design techniques such as change data capture, key generation and optimization
  • Exposure to MPP Databases like Netezza a plus
  • Experience and exposure to Hadoop and/or NoSQL environments a plus
  • Highly motivated self-starter, detail and quality oriented and ability to handle multiple competing priorities
80

Data Architect Resume Examples & Samples

  • Establish standards, best practices and processes for the data architecture practice by working with stakeholders
  • Facilitate group discussions to obtain business and technical requirements, clarify business rules for data design requirements
  • Perform logical data modeling using both relational and dimensional modeling techniques as appropriate
  • Design core database assets, Provide data architectural services and ensure consistent standardized solutions
  • Align with and collaborate in the refinement of data architecture team guidelines
  • Determine proper Surrogate Key / ID management strategy
  • Minimum of 7+ years working with multiple DBMS (SQL Server, Oracle, DB2, Teradata, etc)
  • 2+ years of experience in data warehousing with designing multi-layered data warehouses and data marts using both relational and dimensional modeling techniques
  • 2+ years of experience in integrating data both at logical & physical levels
  • 2+ years of experience with Erwin and ModelMart or equivalent tool
  • Experience building ODS type solutions a plus
  • Strong experience with data warehouse usability design and experience with internal BI tools
  • Proven experience to elicit requirements and developing constructs in conceptual and logical data models to support business requirements
  • Experience in several Surrogate Key / ID management strategies utilized in analytical environments
  • Familiarity with the regulatory environment affecting data in a Health Care Services environment (e.g., HIPAA 5010)
  • Experience with UHG or other healthcare systems and knowledge of claims, eligibility, care management, and providers
  • Process modeling experience
  • Understanding of Big Data paradigm and NoSQL databases
  • Experience working with Agile teams
  • Demonstrated ability to translate business needs into data solutions
  • Thorough understanding of data architecture and data modeling concepts
  • Experience working in a virtual team environment over multiple locations, including off-shore
  • Candidates need to work well in extended project teams with little oversight
  • Prior experience with Master Data Management, Meta Data Management, and/or canonical modeling
  • Experience using native SQL against relational databases
  • Experience with OLTP design and star schemas
  • Proficiency in MS Office (Word, Excel, Outlook, PowerPoint, Access, Visio)
  • Strong consultative and presentation skills
  • Assertive (yet diplomatic) personality and the ability to handle change
  • Strong conceptualization skills
81

Data Architect Resume Examples & Samples

  • Development and maintenance of various data subject area data models (e.g. Provider, Customer, Individual, Clinical, Claims)
  • Requirements gathering sessions
  • Undergraduate degree in applicable area of expertise or equivalent work experience
  • Minimum of 5 years of experience in Data Architecture and Database design
  • Minimum of 5 or more years of data modeling experience
  • Minimum of 3 years of experience as an Enterprise Information Architect experience
  • Minimum of 3 years of experience in building complex, large scale logical data models with ERwin or E/R Studio
  • 3+ years of experience with database technologies (e.g. Oracle, DB2, SQLServer)
  • Experience in formal delivery methodologies and platforms as they relate to enterprise information architecture, including hands on technology experience
  • Experience with enterprise Information Integration
  • Experience in data quality and data integration
  • Experience with large scale data remediating projects
  • Experience in Healthcare Data
82

Data Architect Resume Examples & Samples

  • Contribute both as an individual contributor as well as manage and coordinate architecture development across multiple cross functional teams
  • Experience designing horizontally scalable system architectures designed for high volume transactional rates and data flows
  • Experience with infrastructure components such as LDAP, Single Sign On, SQL and NoSQL database technology, and virtualization technology used to manage IaaS and PaaS infrastructures
  • Knowledge of engineering best practices for code refactoring, code reviews, industry standard design patterns, continuous integration, test driven software development, agile development, and application security
  • Responsible for the overall architectural design of a highly scalable IoT platform and responsible for ensuring that the platform meets or exceeds the expected transactional volumes
  • Experience with scalable cloud technology stacks such as Kafka, Storm, Spark, HBase, MongoDB, Cassandra, and CEP systems
  • Mentor teams in best practices around architecture practices and patterns
  • Experience developing applications in Java/JEE
  • Research and understand new technologies, industry trends, and methodologies
  • Strong analytical and problem solving skills and excellent written and verbal communications
  • Strong customer focus. Ability to interact with customers
  • Prototype theoretical concepts and deliver reference architectures, comprehensive studies, guidelines and recommendations for development team to follow and implement
  • Experience developing, designing and operating cloud based distributed platforms that span geographic regions a plus
  • Bachelor degree in Engineering. Masters degree in Engineering preferred. Prior experience (7 - 10 years) with Java software development
  • A minium of 3 years of experience in the role of an Architect at a large scale, software-centric enterprise    
  • Experience designing and building applications from the ground up is preferred
  • 5 years development experience utilizing distributed processing solutions (e.g. Hadoop), distributed storage solutions (e.g. Cassandra, HBase), real-time and post analytics processing architectures, application server platforms, clustered infrastructures, distributed queuing technologies (e.g Kafka, Kestrel, RabbitMQ), and distributed caching (e.g. memcached)
83

Data Architect Resume Examples & Samples

  • Formulate solution options and recommendations for the Enterprise Data Warehouse
  • Develop reporting and analytical data models to meet the needs of the organization
  • Provide technical knowledge, project management and leadership to implement the solution
  • Create and maintain documentation for the Enterprise Data Warehouse environment
  • Knowledge sharing across the Enterprise Reporting team, the broader IT organization and the business as necessary
  • Data mining, data profiling and business support of data analytics
84

Data Architect Resume Examples & Samples

  • Independent worker able to manage multiple projects and priorities
  • Strong analytical and communication skills with the ability to compile and present information
  • A high level performer and self-starter with a strong customer service focus
  • Comfortable working with clients and groups
  • Ability to perform work that requires practical experience and training
  • Ability and desire to mentor others
85

Data Architect Resume Examples & Samples

  • Ability to effectively diagnose, isolate and expediently resolve complex problems pertaining to data infrastructure
  • Ability to develop methods of ensuring that the data incompatibilities among systems are systematically eliminated
  • Strong experience in Oracle, MYSQL, POSTGRES and SQL Server databases
  • Strong experience in the following: database engineering and designing, SQL, PL/SQL, Linux/Unix Scripting and database performance tuning backup
  • Proficiency in relational database design, data warehousing and database administration
  • Experience in database design tools such as Erwin, Oracle Designer, Visio
  • Experience in TOAD, as well as other Database Management tools
  • Experience in configuration management and code version control tools
  • Must have experience with Linux and Windows
86

Data Architect Resume Examples & Samples

  • Understand and apply industry best practices to the full life cycle of metadata development, including business process models, information assets, business terms, conceptual and logical data models, and data lineage
  • Provide data architecture support to enterprise data management efforts, such as the development of the enterprise data model and master and reference data, as well as support to projects, such as the development of physical data models and data warehouses
  • Define an approach to enable policy/rule/attribute-based data access and dissemination capabilities, enabling advanced data at rest and data in transit security features
  • Organize information by translating user behavior into business rules, events, and structures that enrich master data
  • Design and modeling of master data repositories 
87

Data Architect Resume Examples & Samples

  • Ability to lead business information modeling for large, complex projects and ensure that project information conforms to corporate information architecture standards
  • Work with business clients to analyze business information requirements and translate into logical and physical model designs
  • Collaborate with application delivery teams including business clients, business and data analysts, ETL developers, DBA's, and report developers
  • Develop frameworks to define relationships and integrate models across all modeling levels and disciplines
  • Develop technology standards that support modeling, including best practices and guidelines
  • Develop relationships and processes between modeling and systems development lifecycle
  • The candidate must have, at minimum, a Bachelors degree, and 7 to 9 years of related work experience including experience in the health care industry
  • Four (4) years’ experience in data or information modeling
  • Experience setting data architecture standards and governance model
  • Experience in the different modeling levels and disciplines including enterprise and solution modeling, business, application, and data modeling including conceptual, logical, and physical data models
  • Experience in different modeling languages and notations – Information Engineering, Unified Modeling Language (UML), Extensible Markup Language (XML), etc
  • Experience in developing models supporting data at rest (data warehouses, data marts, operational data stores) as well as data in motion (services, messages, documents)
  • Experience in developing enterprise data models, familiarity with Data Modelling standards including naming conventions.and
  • Experience with tools such as ERwin, Rational Software Modeler/Architect, or Enterprise Architect
  • Experience with ETL tools such as Pentaho
  • Strength in SQL, PL/SQL and HQL
  • Experience with RDBMS such as Oracle, DB2, and BIG DATA HADOOP, HIVE
  • This position requires demonstrated initiative, sound judgment, effective decision-making, and excellent oral and written communication skills
  • Excellent problem solving, communications, and presentation skills
  • Strong customer focus with a demonstrated ability to work closely with technical teams and business users alike
  • Experience with related data management disciplines and technologies, such as master data management, data quality, data integration, metadata, data warehousing, and data virtualization
  • Familiarity with healthcare technology standards
  • Experience in a healthcare industry, preferably insurance
88

Data Architect Resume Examples & Samples

  • Provide technology leadership and delivery
  • Function as team leader with accountability
  • 5-8 years relevant experience or Master’s
89

Data Architect Resume Examples & Samples

  • Strong technical skills with all data warehousing technologies (e.g., ETL, ODS, DBMS, BI)
  • Strong technical skills and experience in selecting and modelling logical data models into the appropriate physical store ( SQL, No SQL, Hadoop, )
  • Microsoft SQL server
  • Strong experience working with Application development teams to select the appropriate data store and producing an appropriate data model
  • Strong experience of requirements analysis, modelling and producing fit for purpose visualisations
  • Modelling of transactional or analytical systems
  • Ability to support and build data based applications
  • Knowledge of BI and analytics, as well as of structured data, such as entities, classes, hierarchies, relationships and metadata
  • Knowledge of modelling structured, Semi-structured and non-structured data
  • Conceptual, logical and physical modelling for rationalising data objects
90

Data Architect Resume Examples & Samples

  • Design distributed computing systems to support data science initiatives including descriptive, predictive, and prescriptive analytics
  • Assess, document, and translate goals and problem statements into use cases for engineering development and implementation
  • Monitor and optimize performance
  • Must have Big Data experience
  • BS or higher in Computer Science or Software Engineering
  • Must have big data experience
  • Over six years of software development experience, preferable in data analytics / science space
  • Good knowledge of Big Data frameworks, concepts, and tools such as Hadoop, HDFS, Hive
  • Knowledge of languages, tools, API; Java/J2EE, JS, JQuery, JSON, Bash, Python, Git, Linux/UNIX
  • Experience in designing and querying SQL and NoSQL databases such as PostgreSQL, MySQL, Oracle, Couchbase
  • Experience with building stream-processing systems using solutions such as Storm or Spark-Streaming
  • Experience working on data products is a plus
  • Knowledge and experience of Big Data ML toolkits, such as Mahout, SparkML, or H2O Cloud computing ecosystems including Amazon Web Services, BigQuery, Azure, etc, Messaging systems, such as Kafka or RabbitMQ
  • Good multi-tasking skills with the ability to meet deadlines
  • Meticulous and detail- oriented
  • Strong focus on customer satisfaction
  • Ability to work effectively in a fast-paced environment and meet short-deadline projects
  • Great balance between offering quick solutions and writing maintainable code
  • Personal integrity and accountability
91

Data Architect Resume Examples & Samples

  • 5 Scope Management: In case of changes in the project, conduct an impact analysis on the cost and other organizational parameters and report the impact analysis of such change to the customer
  • Perform project estimation reviews and get approval from customer
  • Identify Project level tools or other items to be built for this project
92

Data Architect Resume Examples & Samples

  • Gather data with appropriate tools and optimized processing technique
  • Lead Data Strategy development and collaborate on successful execution
  • Develop, socialize and communicate Data Architecture Models
  • Build and maintain actionable data roadmap that enables business vision
  • Establish sources of truth and processes for effective quality
  • Help determine Data Tools and Technology direction
  • Support developers in schema-design, data-modeling and data strategy for applications and services
  • Work with business owners to fully understand how data drives business issues and opportunities
  • Support successful project execution
  • Working knowledge of Big Data concepts and tools
  • 5+ years of DB development experience with more than 1 DBMS
  • Proficient Data Modeling
  • Bachelor's Degree (or equivalent experience)
  • 3+ years experience with ETL tools (Informatica, SSIS, Data Stage) Experience working in a Healthcare Industry
  • Experience working in a consulting organization or consulting capacity
  • NoSQL experience
  • TOGAF training and concepts
  • Ability to convey complex architectures visually with tools like Microsoft Visio, LucidChart, etc
  • Candidates located in or near Minnetonka, MN
93

Data Architect Resume Examples & Samples

  • Profile server resource usage, optimize and tweak as necessary
  • Provide guidance and expertise on tuning
  • Help engineering teams understand the proper data management platform solution
  • 8+ years of experience in Data Architecture with focus on one or more of the DBMS's: Oracle, SQL Server or MySQL
  • 2+ years of work experience with NoSQL solutions or experience with Big Data
  • Database development experience including query optimization, performance tuning and index utilization
  • Understanding of the DBMS engine internals
  • Understanding of industry standard data architecture best practices
  • Familiarity with Agile Development methodology and SDLC
  • Experience in the creation or enhancement in a database Center of Excellence
  • Familiarity with Java or .NET software design
  • Experience in leading small teams, workgroups, or projects
  • Proficient understanding of code versioning tools such as Git / SVN
  • Experience with integrating database into continuous integration/deployment (CI/CD)
  • Commitment to continuous improvement in methodologies as applied to database design and development
  • Must have excellent communication (verbal and written), interpersonal, analytical and problem solving skills
  • Ability to communicate effectively with geographically dispersed teams
  • Must have ability to manage multiple projects at a given time
  • Must be self - starter
94

Data Architect Resume Examples & Samples

  • Promote and ensure the use of enterprise data as a bank-wide asset
  • Provide tools, services and capabilities that enable the building and maintaining of a robust data architecture
  • Gather, retain and share the bank’s intellectual property around data, including definition, usage, storage and distribution
  • 10-15 years industry experience with any mix of the following
95

Data Architect Resume Examples & Samples

  • Develop and design data solutions for complex projects
  • Deliver data models supporting design conforming to an enterprise conceptual model
  • Align solutions to roadmaps for existing data mart and data management solutions across multiple business lines
  • Contribute to data strategies for the migration of legacy applications
  • Develop data standards and promote their use
  • Contribute to data & data tool standards and governance processes
  • Maintenance of data dictionary and/or metadata repositories
  • Mentor project team members in the development of complex ETL solutions
  • Partner with other data architects to influence and support local data needs
  • Present and socialize data strategy with business and IT leaders
96

Data Architect Resume Examples & Samples

  • Research and evaluate potential technology solutions to meet business needs
  • Conduct and lead white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations
  • Architect, design, implement end-to end BI solutions and the required supporting architecture (DWH)
  • Ensure best practices and standards of DWH/BI solutions
  • Lead developers in data integration, information presentation, and delivery
  • Create functional and technical documentation related to Data Architecture and Business Intelligence solutions
  • 6-8 years of progressively responsible, post-baccalaureate experience in Business Intelligence, Data, and Database architecting, designing, developing, testing and implementing
  • Experience in foundational Data Management domains (Master Data Management, Data Governance, and Data Integration)
  • 3+ years of experience with more than 1 BI tools such as Tableau/QlikView/Cognos
  • 5+ years of experience with more than 1 Data Integration tools such as Informatica, SSIS, Python, Ab Initio
  • 5+ years of experience with more than 1 Database tools such as Oracle/SQL Server/Teradata/MySQL/DB2/Erwin
  • 3+ years of experience leading BI/DW implementation teams
  • Strong SQL and physical data modeling skills
  • Strong written/oral communication and presentation/interpersonal skills
97

Data Architect Resume Examples & Samples

  • 5 years of experience creating ERD, logical and physical data models, and other documentation experience on data warehouse design & implementation projects
  • Embaracedero Toolset
  • Relational and Dimensional Modeling
98

Data Architect Resume Examples & Samples

  • Determines business information needs and identifies system requirements
  • Analyzes business intelligence data and provides reports
  • Acts as liaison between information technology and business units
  • Ensures data accuracy
  • Requires a bachelor's degree in area of specialty and 4-6 years of experience in the field or in a related area
  • A wide degree of creativity and latitude is expected
  • Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise
  • Works with IT and business customers to develop requirements for designing the data warehouse architecture
  • Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs
  • Develops various, distinct and multiple technical application designs
  • Prepares technical design documents and blueprints for applications
  • Facilitates in application design reviews and walkthroughs
  • Interprets application services such as API; integrates them with technical design
  • Creates and evaluates technical alternatives for complex applications
  • Explores and evaluates application design considerations for multiple technologies
99

Data Architect Resume Examples & Samples

  • Define core and support technology, data entities, business functions and/or subject areas that transcend organizational and functional boundaries
  • Create performance metrics and traceability maps to determine the effectiveness of architecture solutions and facilitate governance
  • Subject area expertise and 5-6 years of hands-on experience in relevant area (Data Architecture)
  • Good communication skills (both written as well as verbal)
  • Ability to comprehend complex data architecture flows and identify the potential architecture gaps
  • Ability to work as a team/good teaming skills
100

Data Architect Resume Examples & Samples

  • Set the parameters for and develop a coherent DM&T Architecture
  • Ensure that individual project solutions are in alignment and enable this coherent Architecture
  • Lead the development of related Roadmaps
  • Introduce and help operationalize new tools and automation
  • Author and own a comprehensive Enterprise analytical framework
  • Have a good understanding of the Enterprise (across projects) Logical Data Models
  • Reverse engineer legacy data models
  • Create and champion standards
  • Deep knowledge of Business Intelligence and Data Warehousing concepts especially for high integrity, sensitive data
  • Deep knowledge of various types of data. Transactional, Master, Reference, Dimensional…
  • Develop templates for Project (Solution architecture and design) Solution Design and Detail Design
  • Lead investigations for strategic issues
  • Lead Education and Training sessions for DM&T
  • Good comprehension of translating (any of the above) into a plan including timelines and budget
  • Develop and present to executive, management and technical audiences
  • Further DM&T’s accountability, transparency and integrity
  • Strong Communication and passion for writing/documenting
  • Leadership, drive and passion to complete work related expectations
101

Data Architect Resume Examples & Samples

  • Define, own and evolve the target data architecture for TalkTalk gaining support and buy-in from key stakeholders
  • Develop relationships with key business and technology stakeholders in order to influence and drive the data agenda in TalkTalk
  • Create and maintain “blueprint” documentation that articulates the data architecture vision for TalkTalk
  • Support and influence the business change function in the creation of suitable programmes of activity to deliver an architecture roadmap and help ensure progression towards delivery of the target data architecture
  • Support and ratify solution design activities to ensure solutions are compliant with relevant policies, principles and standards
  • Define and assure compliance with data architecture standards
  • Maintain up-to-date knowledge on industry trends and best practices to provide data management and information exploitation thought leadership in TalkTalk
  • Ensure that the data architecture is aligned with business, technology and data strategies
  • Liaise with other teams both within and outside Technology to ensure that their requirements are met by the architectural designs and that the architecture is cost-effective to develop, maintain and operate
  • Supplier engagement in the selection and procurement of product solutions as part of the architectural portfolio
  • Establish and maintain sensitive data risk assessments
102

Data Architect Resume Examples & Samples

  • Maintains and is accountable for the vision of all enterprise data solutions and multiple parallel data services development initiatives Maintains a strong understanding of the business or function for which the data service or data tool / product is designed so that projects, systems, or processes are aligned
  • Helps define key technology initiatives that support business drivers and strategic direction for an unified information architecture (UIA) Establishes and maintains data governance, protecting the company’s primary asset (information) in collaboration with the Data Management and Data Security/GRC teams
  • Drives the overall direction of HLI's information-based projects including scope, client services, and support needs
  • Develops and facilitates strategies in the area of system, data, application and infrastructure integration, ensuring that data interfaces are properly identified, designed, implemented and maintained
  • Plays key role in building and maintaining the enterprise architectural platform that enables change-based growth
  • Communicates key business decisions and organization goals to systems teams, internal and external as part of the daily SCRUM activities and weekly Storytime / ARB meetings
  • Communicates and evangelizes technical decisions to non-technical stakeholders, other technology stakeholders and senior management
  • Understands the company’s Annual Operating Plan and 3-5 year strategy to provide portfolio and programmatic direction
  • Provides technology leadership to team; directs the day-to-day activities of the technical or program teams by providing SRUM Master support
  • Develops and maintains a customer-focused, agile, and accountable team view
  • Accountable for and manages adherence to enterprise information architecture and design guidelines
  • Ensures delivery of technology solutions, documentation artifacts and programs
  • Remains abreast of technology developments and proactively aligns project goals with strategic business goals
  • Communicates with staff or clients to understand specific product, functional, or non-functional requirements
  • Collaborates with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components
  • Assists with design specifications for end-to-end applications, infrastructure, installation instructions, and other system-related information for end-to-end infrastructure
  • Provides mentoring as a cornerstone of career development for all key direct reports and technology team members
  • Works with Sourcing to identify, select, and manage platform vendors and consulting services
  • Work collaboratively with the Software Engineering and Bio Science Teams to implement commercial clinical grade solutions
  • Defines best practices and governance principles, while working with business stakeholders to ensure the clinical and corporate solutions meet data delivery and quality SLAs / KPIs
  • Ensures that critical application and information assets modeled as part of any project are represented in the enterprise Business, Application, Information and Technology architectures (BAIT) and follow the design guidelines and requirements of EA
  • A bachelor's or master's degree in computer science, bioinformatics, information systems or other related field; or equivalent work experience
  • Hands-on experience with designing and implementing distributed architecture systems to tera/petabyte data handling using OpenSource software
  • Expert knowledge in modern distributed architectures and compute / data analytics / storage technologies on AWS or similar platforms such as GoogleCE is required
  • Understanding of architectural principles and design patterns / styles using parallel large-scale distributed frameworks such as Hadoop / Spark
  • Experience working with Agile development methodologies and tools (Jira, Confluence) in a compliance driven environment Hands-on knowledge with service-oriented / micro service architecture implementations (service bus, event processing, message queuing and workflow automation) including frameworks such as AWS, Informatica and various OpenSource solutions
  • Strong understanding of HDFS and other distributed file systems along with varying file formats (i.e. Parquet) as well as
  • Deep knowledge of RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL databases such as HBase, CouchBase, Vertica, MongoDB, DynamoDB, Cassandra
103

Data Architect Resume Examples & Samples

  • Apache Hadoop, PostgresSQL, MYSQL or VMware or Oracle DBMS knowledge
  • Possess knowledge of SQL Server and its tools including the facets of successfully administering a wide range of simple to highly complex environments
  • Knowledge and understanding of all aspects of database tuning: software configuration, memory usage, data access, data manipulation, SQL, and physical storage
  • Experience with development and execution of database security policies, procedures and auditing-experience with database authentication methods, authorization methods, and data encryption techniques
  • Must work well in a team environment as well as independently
  • Ability to work with the other technical members of the team to administer and support the overall database and applications environment
  • Experience working with large unstructured data sets
  • Cloudera Certified Professional (CCP): Data Scientist
  • CCSHB: Cloudera Certified Specialist in Apache HBase
104

Data Architect Resume Examples & Samples

  • Design, Architect and implement scalable solutions including
  • Bachelor degree in Computer Science, Mathematics, Engineering or related field highly preferred
  • 8+ years of experience with comprehensive understanding in databases and analytics, including relational databases (e.g., SQL Server, MySQL, Oracle), data warehousing, big data (Hadoop design patterns, Spark), noSQL and business analytics
  • 8+ years of success in consultative/complex technical sales and deployment projects in both B2B and B2C data environments, including oversight experience on major transformation projects and successful transitions to implementation support teams
  • Previous work with Big Data technologies including Hadoop, Cascading and Spark
  • Prior work experience in a DBA/Consulting/Architecture position within a software and/or services company such as Amazon, Google, IBM, Softlayer, Oracle, T-Systems, Wipro, CSC, HP, Infosys, ServiceNow, Dell, TCS, Rackspace and Cognziant would be highly valued
  • Proven track record of building deep, technical relationships with senior-level executives and growing cloud consumption share in large or highly strategic accounts
  • Demonstrated experience as an authority figure within a technology focused team, capable of mentoring and growing other engineers and developers
  • Hands-on knowledge of business intelligence systems (dimensional modeling, data mining, predictive analytics, etc.)
  • Hands-on knowledge of development in Python and Java
  • Advanced presentation skills with a high degree of comfort with both large and small audiences.A client-focused approach with an outstanding reputation for customer support as demonstrated by a flexible and enthusiastic approach to work assignments and new learning
  • Deep understanding of cloud computing technologies, business drivers and emerging computing trends
  • Other skills necessary to handle complexities of technological infrastructure (strong attention to detail, logical thinking, out-of-the-box problem solving, etc.)
105

Data Architect Resume Examples & Samples

  • Contributes to highly complex projects that require in-depth technical knowledge in data architecture & engineering (RDBMS, No-SQL and Big Data spaces) and data ingestion/ETL migrations
  • Provides architectural support across teams. Leads analysis and design activities using proven technologies and vested approaches and methods
  • Communicates across direct organization and presents to senior leaders on the technical strategy and approach
  • Contributes to the overall technical strategy and key programs through hands-on development and working on proof of concepts on new tools & technologies
  • Connects the dots across technologies and develop cross-technology solutions; works on cross-functional projects/teams to deliver technology solutions for the business
  • Ability to create data engineering solutions and provide guidance to development teams on the implementation of new and existing standards, technologies, tools, services and practices
  • Diagnose/Solve various problems in production/test/development environment in a fast-paced environment
  • Bachelor’s/Master’s degree in Computer Science/Information Technology or related technical discipline
  • Minimum 6 years of working experience in RDBMS (Oracle) systems, No-SQL (Cassandra, Mongo DB) databases and Big Data (HDFS, Spark, Hawq, et) tools and technologies
  • Strong knowledge on data ingestion/ET migration tools and technologies
  • Deep understanding of web application space and SOA architecture
  • Good experience working on agile projects
  • Strong interpersonal and written communication skills
  • Hands-on experience working on UNIX / LINUX servers
  • Exposure to DevOps processes
  • Exposure to domain knowledge & processes in Aviation CSA space
  • Delivering solutions in FastWorks model
106

Data Architect Resume Examples & Samples

  • Work with Sr. Manager and Director to define strategic and tactical solutions based on departmental objectives
  • 3 Interpret and deliver plans that specify strategy and improve data integration, data quality and data delivery in support of big data business initiatives and roadmaps to achieve results
  • 4 Collaborate with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization
  • Articulate architectural differences between big data solution methods and the advantages/disadvantages of each
  • Set standards for data management and conceive projects needed to eliminate the gap between current state and future goals
  • 1 10 + years experiences in enterprise software development with specific focus on data management
  • Ability to think strategically and relate architectural decision/recommendation to business needs
  • Working knowledge in how to assess performance of data solutions, diagnose problems and familiar with industry standard tools
  • In-depth understanding of data warehouse concepts and implementation techniques; extensive experiences in challenges, governance and best practices in dealing with very large data repository in a large enterprise
  • Strong knowledge and experience with big data components such as Hadoop, HDFS, Spark, Scala, Pig, Hive, Sqoop, Flume, HBase, and MapReduce
  • Extensive experience with logical data model design Big data phycicial and Hive data model design including performance optimization, and scalability
  • Development experience of NoSQL databases, such as Cassandra, HBase, etc
  • Excellent interpersonal, team management, facilitation and communications skills; must be able to communicate/present effectively at all levels of the organization
  • Experience with analyzing large set of data using BI tools such as Tableau desktop and IBM cognos
107

Data Architect Resume Examples & Samples

  • Analyze across multiple data domains and define strategies to reduce data redundancy, improve data availability, and accessibility by partnering with the technical teams and deliver a maintainable and reusable data architecture
  • Govern data decisions related to data model design, data access patterns, and data services
  • Design and implement data solutions using Master Data Management principles and tools
  • Partner with leaders and team members across the business to design and institute practices that will drive the appropriate levels of rigor and quality in enterprise information architecture
  • Develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk
  • 12+ years of hands on experience in Data Management/Data Architecture/Application architecture/Data Development
  • 5+ years of experience working as a Enterprise Data Architect with current information technologies and ability to implement into the business function
  • 3+ years of hands on experience working with Data Management, Data Architecture in a big data environment
  • Proficiency working within the Hadoop platform including Kafka, Spark, Hbase, Impala, Hive, and HDFS in multi-tenant environments
  • Experience in integrating complex, corporate-wide processes and data models
  • Experience in full life cycle architectural guidance
108

Data Architect Resume Examples & Samples

  • Utilize syndicated research tools to retrieve various types of data (macroeconomic, marketing, business, etc.)
  • Build applications writing SQL and/or SAS scripts to manipulate data and / or writing specific instructions for an off-shore programmer to write the scripts
  • Meet project timelines and deliverable schedules
109

Data Architect Resume Examples & Samples

  • Specify overall data architecture for all areas and domains including Data Acquisition, Data Integration, ODS, MDM, Data Warehouse, Data Provisioning, ETL, and BI
  • Responsible for developing and supporting a data model and architecture that supports and enables the overall strategy of expanded data deliverables, services, process optimization and advanced business intelligence
  • Partner with business subject matter experts, system analysts, data/application architects and development teams to ensure data design is aligned with business strategy and direction
  • Deliver solutions in a complex production environment with concurrent considerations such as
  • Bachelor’s Degree in Computer Science or other related discipline
  • 10+ years of proven hands on experience in data architecture, data modelling (relational and dimensional), data architecture and metadata management
  • 7+ years of experience in data modeling tools such as Embarcadero/Erwin/ER Studio or comparable toolsets
  • 5+ years of hands-on experience with relational databases (DB2, Oracle etc.) and columnar databases (Vertica etc.)
  • Strong experience with commercial ETL platforms with in-depth knowledge and understanding of ETL methodology & design supporting data transformations transformation layer
  • Experience in In-Memory New SQL, NoSQL and Hadoop Hive/Sqoop/Scala/Spark
  • Expert level skill in modelling, managing, scaling and performance tuning of high volume OLTP, OLAP and data warehouse environments
  • Advanced knowledge of data management systems, practices and standards
  • Experience developing highly performant distributed data processing platform with Big Data technologies
  • Experience in the high paced energy of startups as well as experience in the structured world of larger companies
  • Proven track record of full life cycle successes from inception to successful completion and production support
  • Understanding of systems design and technical concepts in order to communicate effectively with other cross-functional teams
  • Willing to strive for the ideal design process while still working within the framework of the organization, project, and environment
  • Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle is a PLUS
  • Strong estimating, planning skills and proven ability as a problem-solver
  • Ability and desire to thrive in a proactive, high-pressure, client-services environment
  • Experience with machine learning, statistical techniques, text mining, natural language processing, computational linguistics and information retrieval
  • Experience with different architecture frameworks preferred – TOGAF, Zachman
  • Retail or Customer or marketing analytics background preferred
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Data Architect Resume Examples & Samples

  • Background in computer science, mathematics or similar quantitative field with a minimum of 10 years professional experience
  • Database development and database administration experience
  • Data architecting, munging and Extract Transform Load (ETL) automation
  • Scripting language and data visualization experience using Tableau
  • History of driving process improvements, system automation and world class reporting
  • Experience leading complex projects and developing business solutions from inception to deployment
  • Ability to deliver timely and accurate work product in a fast-paced and dynamic environment
  • Ability to deal with ambiguity, work independently, be a self-starter
  • High level understanding of statistics and machine learning a plus
  • High level knowledge of GAAP, SOX, general ledger, finance and accounting processes a major plus
  • Software development or web development skills a plus
  • Most importantly, a sense of humor and an eagerness to learn
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Data Architect Resume Examples & Samples

  • Bachelor's Degree in Engineering, Computer Science, or Information Technology from an accredited institution
  • Minimum of 3 years of experience in data warehousing or storage experience
  • Minimum of 3 years of experience in data base administration
  • 3 years’ experience setting up new data warehouse structures
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Data Architect Resume Examples & Samples

  • 8 years of experience designing and developing data solutions for reporting
  • Skills with Oracle and the SAP Business Intelligence Suite
  • Database Administrator
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Data Architect Resume Examples & Samples

  • BS in Computer Science, Computer Engineering (or related field) and 6-8 years of experience in
  • Application server software (Oracle products)
  • Database management system software (Microsoft SQL Server)
  • User interface and query software
  • Enterprise application integration software (e.g. XML)
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Data Architect Resume Examples & Samples

  • Create an enterprise data model covering Product, Customer, Customer Interaction, Inventory, Campaign Management, Web and Mobile Analytics subject areas
  • Translate user requirements and business use cases to conceptual, logical and physical data models
  • Act as bridge between business and technical data SMEs and guide requirements conversations through a structured approach that builds business confidence in the process
  • Translate a business glossary into one or more logical and physical data models
  • Create a tiered enterprise data management architecture using a combination of relational, dimensional and flat data models, depending on business context, type of data and use cases
  • Identify appropriate sources for the data science team’s data needs, create the necessary data mapping and transformation rules and assist the data engineering team in staging the data for advanced analytics
  • Facilitate the data scientist, data analyst and business analysts in using master data and analytic data by walking them through the model using business scenarios familiar to them
  • Identify the right data management toolset for managing master data and predictive data management
  • Create a framework to house external data from third party vendors and partners by mapping them to the enterprise business glossary and enterprise data model
  • Maintain cross referenced metadata on data sources, interfaces and systems of record and systems of reference
  • Advise the data governance leader on data quality rules and identify appropriate mechanisms to execute and update results of data quality checks
  • Create a framework for reusable data feeds (such as Web Services and batch feeds) to external partners and vendors for short term and long term business projects
  • Recommend and bring retail data management best practices to stitch together disparate data and analytics requirements and projects under a consolidate data management umbrella that spans the organization
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Data Architect Resume Examples & Samples

  • 5-7+ years of experience
  • Knowledge of data management and reporting technologies, predictive analytics, data visualization, and unstructured data. While not necessarily deep in all of these technologies, the data architect should be experienced in one or more, and must understand them sufficiently to guide the organization in understanding and adopting them
  • Business Intelligence architecture, modeling and analysis
  • Experience in a manufacturing environment desired
  • Experience managing consulting relationships and resources
  • SAP experience a plus
  • Attention to detail and following standards and best practices
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Data Architect Resume Examples & Samples

  • Ensuring overall solution design is comprehensive, including fit to: functional requirements, non-functional requirements, security, infrastructure standards (hardware, software, networks, storage etc.), operational model, service model, economic constraints and business case
  • Creating the only client level Profit & Loss Account and Balance Sheet
  • Developing the critical Return on Risk Weighted Assets and Return on Equity measures used to manage the Corporate portfolio and related pricing and investment decisions
  • Developing a comprehensive process used to drive efficient application of resources across the business
  • Creating metrics and processes used in the planning and execution of the Structural Reform Programme (SRP)
  • The execution and delivery of business change via technology
  • Strong data architecture and logical / physical database modelling background (expert SQL, Oracle, SQL Server, DB2, or Teradata)
  • Experience with integration/middleware development products / approaches (IBM MQ, ESB, EAI, XML, Web Services, ETL etc.) in a complex mixed vendor/bespoke application environment
  • Strong financial services experience with current knowledge and understanding of Corporate Banking Products and the financial services regulatory environment
  • Commitment to excellence and a proven track record of delivery
  • Strong communication skills, including the ability to present and facilitate technical workshops with diverse and challenging senior stakeholders
  • Experience of leading technical design and development workstreams spread across multiple global locations
  • Application: On your application we'll ask for information like your contact details, education and work experience. You’ll also be required to upload a CV, so it's a good idea to have it ready
  • CV Review: If you meet the criteria for the role you’ve applied for, a member of our team will be in touch to conduct a short telephone interview to explore your application in greater detail
  • Assessment: If your application is successful at this stage, we’ll ask you to complete an online Situational Judgment Test to explore your alignment to the Barclays Values and Competencies. Your recruiter will be able to provide further information about the test
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Data Architect Resume Examples & Samples

  • Creates architectural data strategies by reviewing objectives with clients, evaluating current systems, and analyzing client operations, applications, and programming
  • Performs validation checks, maintains database dictionaries and coordinates installation of new and updated database systems
  • Advises users and colleagues on problems and priorities
  • Makes recommendations to management on strategy and long-term database needs
  • Validates data models to ensure they meet business requirements
  • Understands complex business processes
  • Ability to build strong partnerships with clients in a wide range of roles, across the institution
  • Intellectually curious, love of a good challenge
  • Self motivated and highly engaged
  • Demonstrated capacity to develop & maintain effective working relationships with individuals & organizations reflecting a broad range of identities, perspectives & experiences
  • Bachelor’s Degree in computer science, information technology, or related field. Advanced degree in technology preferred
  • 5+ years experience as a Data Architect
  • Broad and up-to-date knowledge of relational database systems, dimensional modeling of data, query language, and thorough knowledge of referential integrity, triggers and stored procedures
  • Practical experience with data modeling
  • Experience working with ERP’s and CRM’s
  • Colleague Unidata and Salesforce experience a plus
  • * Application Instructions Specific to this Position ***
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Data Architect Resume Examples & Samples

  • Participate with senior management to establish strategic plans and objectives
  • Provide thought leadership and lead innovation by exploring, investigating, recommending, and implementing technologies to create/improve service offerings
  • Work with customers, stakeholders, business analysts, developers and technology teams to elicit the data requirements to achieve project objectives, delivery dates, cost objectives, quality objectives and business customer satisfaction
  • Develop data lifecycle management strategies utilizing industry leading concepts and methodologies to facilitate operational business needs
  • Convert business processes, domain specific knowledge, and information needs into coherent, and effective overall data architecture including conceptual, logical and physical data models
  • Explain and document the trade-offs between proposed solution and viable alternatives
  • Prepare and propose standards and templates for documenting data definitions, data structures, and data quality
  • Collaborate and coordinate with appropriate internal and external groups to ensure the confidentiality and security of all corporate and client information
  • Perform other duties as may be assigned by management
  • Bachelor's degree from an accredited college or university required; Preferably in the fields Science, Technology, Engineering
  • Ten (10) years of experience in data development management required
  • Five (5) years demonstrated hands-on experience in the following required: data modeling tool (e.g. ErWin), relational databases (Oracle technologies), SQL programming, and data analytics
  • Two (2) years demonstrated hands-on experience with reviewing the data modeling of others for compliance and accepted standards of development required
  • Five (5) years demonstrated experience developing and delivering large, complex solutions in a sizable enterprise required
  • Experience with data analysis, data migration, data modeling, data integration, data warehouse and database design
  • Hands on experience in developing and implementing data architecture and complex data models for operational and data warehouse applications
  • In depth knowledge of physical database design, transactional databases using major RDBMS such as Oracle, MYSQL server
  • Must be able to perform comfortably in a fast-paced, deadline-oriented work environment, and must demonstrate the ability to successfully execute multiple complex tasks simultaneously; as well as the ability to work effectively both as a team member and independently
  • Serve as the technical lead and key point of contact for the design of complex information technology solutions
  • Serve as the key technical point of contact in developing the technical solutions in response to Change Requests, and business needs
  • Work closely with Health Services Operations management and staff, Operations Systems’ technical engineers, and process engineers to provide guidance and ensure adequate design for meeting Health Services’ business objectives and strategy
  • Experience working with No-SQL databases preferred
  • Experience supporting micro service architecture based applications preferred
  • Working knowledge of data modeling tools, agile methodologies and production DBA clusters preferred
  • Ability to perform quantitative and qualitative analyses of existing business processes based on in-depth industry knowledge of organizational and or client objectives
  • Ability to influence senior level leaders regarding matters of significance
  • Ability to negotiate with internal and external customers to gain desired outcome
  • Ability to work under standards-based performance measures
  • Ability to successfully manage many complex tasks simultaneously
  • Work is constantly performed in an office environment
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Data Architect Resume Examples & Samples

  • Thought leadership role in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, data discovery, database design and implementation
  • Defines and achieves the strategy roadmap for the enterprise; including data modeling, implementation and data management for enterprise data
  • Establishes standards and guidelines for the design, development, tuning, deployment and maintenance of data
  • Provides leadership in establishing analytic environments required for structured, semi-structured and unstructured data
  • Draws conclusions and effectively communicates findings with both technical and non-technical team members
  • Participates in Business Intelligence projects, and works with analytical group and IT to ensure implementation using both Agile and Waterfall methods
  • Advanced degree in Computer Science, Business Analytics, Statistics, or related fields is a plus
  • A minimum of 5 years in the Financial Services industry
  • Extensive expertise with relational database technologies (Oracle and MS SQL), as well as data modeling, both logical and physical
  • Extensive experience in multidimensional data modeling, such as star schemas, normalized and de-normalized models
  • Extremely strong analytical and problem-solving skills
  • Strong verbal, written and visual presentation skills
  • Experience using project management and SDLC methodologies
  • Experience working with remote teams and offshore vendors
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Data Architect Resume Examples & Samples

  • Establish and maintain models and artefactsthat describe how data is processed, stored, and utilized in the entire system
  • Develop and maintain platform architecture models, such as performance, business, data, application, infrastructure and security
  • Develop data governance strategy and controls to ensure consistency of data between various systems and components
  • Provide advice and present on solutions for business intelligence and data warehousing activities for stakeholders at different levels within the organization
  • Full SDLC involvement including review of data development activities, data security, auditing, data quality
  • Work with stakeholders to help define business requirements for complex systems, focusing on understanding anddocumenting the business processes and data requirements of those
  • Work with developmentteams in the implementation of processes which result in a high degree of data quality and integrity
  • Assist in the resolution of dataquality issues
  • Help drive the development of future statedata architecture and the strategic plan for supporting both transactional and information systems
  • Research and assessemerging technologies and recommend technologies that will benefit the organisation
  • 8+ years defining and maintaining conceptual, logical and physical data models, data standards, naming conventions and data flow diagrams
  • Strong experience with SQL Server
  • Successfully implemented Data Quality/Governance initiatives
  • Knowledgeof Big Data
  • Knowledge of NoSQLsolutions
  • Knowledge of Business Intelligence solutions
  • Ability to analyseand understand complex problems
  • Excellent collaboration, influence and leadership skills required
  • Experience of selecting third party products
  • Minimum of a B.Sc in Computer Science or related field
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Data Architect Resume Examples & Samples

  • Develop and keep current, a high-level data strategy that fits with the Data Warehouse Standards and the overall strategy of the Bank
  • Develop and maintain Data Warehouse data model reviews, design sessions, pertinent documentation and serve as lead between the business, compliance and technology
  • Provide Production Support of the Data Warehouse as well as the ETL jobs used to support the Data Warehouse and FRB. This includes being an active member of the Point rotation as well as providing support to other team members that are covering point
  • Adhere to ETL/Data Warehouse/Data Mart/MDM development Best Practices
  • Ability to identify and resolve any performance and/or data related issues
  • Facilitate the development and implementation of data standards and adoption requirements across the enterprise. Designs and implements data quality improvement processes
  • Provide guidance on technical specifications, data modeling, etc. and reviews proposed data marts, data models, and other dimensional uses of data within the Data Warehouse
  • Ability to lead departmental development efforts - capturing knowledge capital, conducting internal training classes and sharing information across the team
  • Strong interpersonal skills, including the ability to diplomatically advocate for data management best practices and standards as well as server as a mentor for other team members
  • Performs other duties & responsibilities as required or assigned by management
  • Communicate effectively using different media at multiple levels of the organization and across organizational boundaries
  • 10+ Years of in MS SQL Server Database Design/Development
  • 7+ Years of MS SSIS or Informatica Experience
  • 10+ Years of Data Warehousing Experience
  • 5+ Years leading Data Warehouse projects
  • Experience with VLDB's
  • Expert in Microsoft SQL Development (T-SQL)
  • Expert in Microsoft SSIS Development (2005, 2008, 2012) or Informatica Powercenter Development (9.0 – 9.5)
  • Experience with .NET technologies (VD.net, C#, etc.)
  • Experience Designing and Implementing Enterprise Data Warehouses and experience in Data Modeling
  • Strong understanding of Master Data Management, MetaData Management and Data Quality
  • Advanced knowledge of performance tuning as related to ETL Development
  • Strong experience with Source Control (VSS, TFS, git, etc.)
  • A proven self-starter with strong leadership, communication and problem solving skills that lead to results
  • Ability to handle multiple projects, changing priorities and occasional urgent matters while managing time efficiently and communicating to business users and other stake holders accordingly including analysts, managers and executives
  • A Team player that furthers the First Republic Bank culture and values
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Data Architect Resume Examples & Samples

  • Build internal standard practices for data intake, cleaning, coding and organization
  • A master's degree, preferably in data science, statistics, informatics, econometrics or similar field with a focus on data science and at least on eyear of experience in a data analyst.manager role, or a bachelor's degree and at least four years experience in a comparable role
  • Experience with MySQL, Oracle, or other databases
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Data Architect Resume Examples & Samples

  • Degree qualified in Business management, IT, Computer Systems, software or computer engineering fields or equivalent
  • 7+ years defining and maintaining data architecture, logical & physical data models, data standards, naming conventions, primary key guidelines, and data flow diagrams
  • 7+ years’ experience in relational & dimensional data modeling, process modeling and performance tuning of large scale data warehouses
  • 3+ years architecting active data warehouse solutions
  • Strong technical knowledge of data integration, metadata and BI analytics tools
  • Good understanding of Telco data models
  • Data Architecture, Data Modeling of BI Applications / Data Warehouse
  • Good experience with distributed systems, large scale non-relational data stores, map-reduce systems, data modeling, database performance, and multi-terabyte data warehouses
  • Experience of data warehouses in excess of 10TB would be an advantage
  • SQL, Relational Database Management System (RDBMS) – Teradata, Erwin Data Modeling tool and Erwin scripting
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Data Architect Resume Examples & Samples

  • Responsible for supporting clients with Affordable Care Act (ACA) product
  • Responsible for training clients on ACA product
  • Responsible for helping to improve training for ACA product
  • Responsible for developing FAQ documentation for ACA product
  • Responsible for assisting with support on other products where feasible
  • BA or BS degree Preferred (or Equivalent Experience)
  • Minimum 3-5 years professional experience
  • Ability to comprehend and use new technologies quickly
  • Aptitude and comfort level in handling multiple requests concurrently
  • Consistent attention to organization and details
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Data Architect Resume Examples & Samples

  • Retail, e-commerce, Merchandising, Inventory Management and Supply Chain experience
  • Develops and maintains data models (logical and physical) for operational and analytical systems in the Enterprise
  • Maintains the ERWIN model repository and ensures the models are current
  • Creates and executes DDL in development environments for any new and/or revised database objects
  • Works closely and communicates effectively with the IT development staff on providing the best data design solutions for their needs
  • Must possess the ability to derive data requirements from functional requirements, source data and meetings and the ability to generate data models from scratch to meet requirements and follow best practices
  • Works to promote the enterprise’s data governance standards
  • Reviews and Approves requests pertaining to database objects in a timely manner
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Data Architect Resume Examples & Samples

  • Define software applications and technology architectures, and be sure of its technical feasibility. Key technologies: MS Azure PaaS and Hadoop framework (HBase, Spark, MapReduce,)
  • Be in charge of the applications’ performance (DevOps / Run) and industrialization
  • Manage the volume’s estimation, the modeling and the design of data models
  • Manage the technical scope and the functional coherence of the data warehouse
  • Design and implement the development and release process
  • Define and implement data management plans to ensure data is well collected and aligned with the solution requirements
  • Provide hands on expert level assistance for technical issues
  • Work in different phases: deployment, optimization, technical audits, especially in context of high volumes
  • Being proactive on bests practices and bring feedbacks on various topics
  • 6 years of software engineering experience including the design of technical environments
  • Strong background in data engineering, Microsoft Azure and open source frameworks
  • Knowledge about the PaaS MS Azure and Open Source Big Data frameworks (Hadoop, Spark) and a first experience of deployment
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Data Architect Resume Examples & Samples

  • Create & maintain data architecture, data management standards and conventions, data naming standards, and metadata standards
  • Perform high level and detailed design activities and create specifications for operational and data warehouse projects
  • Participate in ETL design, strategy and associated processes
  • Validate and comply with the defined data architecture
  • Recognize and identify potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding future business expansion
  • Work closely with key client and IT stakeholders in understanding business needs and recommend solutions
  • Lead logical data model workshops with business users to derive at a logical data model that correctly reflects the business
  • Coordinate with database administrators the physical construction of databases for projects and maintenance
  • Resourceful, organized and independent self-starter with an enquiring mind
  • Ability to interact with different levels of technical and management personnel
  • Knowledge of the Individual Insurance business and the Salesforce application is essential
  • Logical and physical data modelling – 7+ years (dimensional and 3NF)
  • In addition to all the traditional modelling techniques, the incumbent must also possess the knowledge to create logical data models using the Class Modelling technique as well the Generic Data Modelling approach
  • Strong design & hands-on experience with DBMS – SQL Server, Oracle, DB2 for z/OS, IMS – 10+ years
  • Metadata repository experience
  • Master data management experience
  • Knowledge of industry data management best practices and trends
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Data Architect Resume Examples & Samples

  • Development and delivery of Enterprise Data Architecture artifacts
  • Development and delivery of structural and semantic metadata (XML Data Encoding Specifications, XML schemas, metadata mapping, controlled vocabularies, ontologies, and taxonomies)
  • Conduct engineering assessments of data management plans for IT projects and programs within IT governance
  • Support an integrated team of legal, security, policy and operational (mission) stakeholders defining data access business rules based on law, policy and mission sensitivities
  • Advise the government sponsor on the steps needed to increase the maturity of data management within the enterprise
  • Demonstrated working experience with information sharing, data interchange models and related technical specifications such as IC XML Data Encoding (data tagging) standards or NIEM
  • Strong written and verbal communications skills; ability to communicate effectively to a variety of audiences to include government leaders and policy-makers
  • Proven experience collaborating effectively across multidisciplinary teams: IT, systems engineering, data integration, analysts, policy and organizational partners
  • Experience with enterprise data architecture and enterprise data management
  • Awareness of or familiarity with access control approaches including Attribute Based Access Control (ABAC)
  • Awareness or familiarity with big data analytics, data science and related data management challenges
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Data Architect Resume Examples & Samples

  • 3 years of experience with business environments in data modeling or system engineering
  • Experience with developing, validating, and maintaining conceptual, logical, and physical data models using data modeling tools, including Erwin and evaluate existing data models for variances and discrepancies
  • Experience with requirements gathering and system analysis to design for data models
  • BA or BS degree in Computer Science or Systems Engineering
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Data Architect Resume Examples & Samples

  • Act as a data thought leader to a team of engineers and help them break down ambiguous, complex problems and drive high-quality, innovative, and clean technical solutions
  • Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
  • Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
  • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks
  • Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving
  • Ensure that data strategies and architectures are in regulatory compliance
  • Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HRIS)
  • Oversee a broad range of platform integrations, improvements and customer-facing features
  • Proactively make data-driven decisions and manage complex initiatives from conception to deployment
  • Manage interfaces and coordinates with various providers, vendors, and customers
  • Communicate effectively with Aspect leadership on projects, data and interface issues
  • Perform interface analysis, builds, testing, and go-lives
  • Work with developers on interfaces using interface technologies and relevant languages
  • Monitors live interfaces, and provides support and resolves problems as needed
  • Experience working both independently and in a team-oriented, collaborative environment
  • Lead testing and troubleshooting process with internal teams, partners, providers and external technology vendors
  • Establishes strategic goals by gathering pertinent business, financial, service, and operations information; identifying and evaluating trends and options; choosing a course of action; defining objectives; evaluating outcomes
  • Has hands on experience in several mid-size, global implementations connecting various SaaS and on premise based applications with cloud data warehousing solutions, with specific knowledge integrating Salesforce and NetSuite a plus
  • Direct experience in implementing enterprise data management processes, procedures, and decision support
  • Strong understanding of relational data structures, theories, principles, and practices
  • Strong familiarity with metadata management and associated processes
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies
  • Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on
  • Experience utilizing ETL tools to integrate data sources, with expertise in Jitterbit Harmony a plus
  • Ability to effectively and professionally communicate complex information to business functional staff and senior executive management
  • Strong customer service and teamwork skills. Professional demeanor to maintain and enhance relationships
  • Independently handles complex aspects of position, such as leading cross functional teams on IT delivered projects and enhancements
  • Ability to use professional concepts in accordance with company objectives to solve complex problems in creative and effective ways. Deliver assignments with limited direction from direct management
  • Ability to develop resolutions to complex problems where analyses of situations or data require an in-depth evaluation of various factors and the frequent use of creativity
  • Ability to exercise and demonstrate good judgment within broadly defined practices and policies in selecting appropriate methods, techniques and evaluation criteria for obtaining results
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Data Architect Resume Examples & Samples

  • Participate in the design, acquisition and completion of Enterprise Intelligence transformation projects within the complex multinational financial services landscape (Banking/Insurance/Wealth and Asset Management)
  • Design sustainable data quality architectures and organizations
  • Support, design and implement data processes towards a data centric culture
  • Work closely together with colleagues from other departments, in domains such as risk management, business optimization and customer intelligence
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Data Architect Resume Examples & Samples

  • Extensive experience delivering complex database intensive solutions (ideally but not restricted to banking and/or financial institutions)
  • Demonstrable experience of driving solution implementation from design through all delivery phases
  • Fluent and efficient in creating Technical Architecture Documentation, presentations and sales pitches
  • 8+ years hands on experience with Oracle database and related technologies. This includes PL/SQL development, performance optimization techniques, partitioning and indexing techniques, data replication solutions (Data Guard, Golden Gate), back-up and recovery, high availability and failover solution (RAC)
  • 5+ years of experience in designing and working with large scale data models. Experience of data modelling tools such as Power Designer or ErWIn is required
  • DWH experience (star schema modelling and implementation)
  • ETL experience (tools like Informatica, SAS DI, OBIEE)
  • Reporting tools experience (tools like Business Objects, Cognos, SAS VA)
  • Experience with agile methodologies (ideally Scrum or SAFe)
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Data Architect Resume Examples & Samples

  • Drive the collaborative development of the BI strategy/architecture for Information Delivery
  • Develop and apply standards and guidelines for information receipt, information delivery, information presentation, BI tool usage, and data reporting
  • Establish guiding principles and architectural decisions regarding marts versus cubes & reporting tools for ad-hoc reporting, static reporting and multi-dimensional reporting
  • Ensure that BI solutions interface with security solutions
  • Supporting various warehousing projects by developing the conceptual and logical Information Architecture (including data services, metadata management, data placement and information flows)
  • Developing conceptual and logical information models within the context of the Enterprise and Line of Business Information Architecture
  • Documenting business informational requirements and business rules, within the context of the Data Architecture, in the information models
  • Ensuring that all informational business rules are documented in the information model, including definitions, valid values, and default values
  • Ensuring that the information rules have been validated by the business
  • Ensuring that DW/BI standards and guidelines are used to develop the information models and database designs
  • Participating in the resolution of data quality issues, data conversion issues and in the reviews of existing data structures and recommend improvements
  • Ensuring that models are checked-in to the Modeling tool on a regular basis
  • Participating in mapping information models to external vendor offerings, identify gaps and participate in resolution
  • Working with the DBA to transform the logical information model into a first-cut logical database design (physical information model for the target DBMS)
  • Working with the DBA to assess implementation database design requests made for performance/access requirements to ensure business rules and long-term database usability/integrity is not compromised. In-depth knowledge of Business Intelligence and Data Warehousing concepts
  • Acts as the technical lead in working with other vendors in a Data Warehouse implementation
  • In-depth knowledge of Business Intelligence and Data Warehousing concepts
  • The ability to analyze performance issues and design and implement a solution
  • Mandatory Knowledge of
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Data Architect Resume Examples & Samples

  • Five years includes specific duties as a data architect, database administrator, or data analyst
  • Five years “hands on” experience managing one or more of the following database systems: Microsoft SQL Server, Oracle, or IBM DB2, involving implementation of database schemas, indexes, and query optimization
  • Three years “hands on” experience implementing database stored procedures
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Data Architect Resume Examples & Samples

  • The Data Architect will be responsible for understanding the requirements and detailed data ecosystem of the components and applications associated with the PSJSP program, and using this knowledge to prepare and champion specific recommendations, guidelines, practices, and design models which will ultimately form the basis for the program data architecture
  • The Data Architect will also act as an in-house expert to mentor and assist technical staff in mastering techniques and best practices associated with: data modeling; data warehouse, data lakes, and database design and optimization and related activities
  • The Data Architect will collaborate as part of a team composed of technical leaders representing the enterprise, application, data and network architecture, interface development, security, and business relationship management areas of the program
  • Research, analyze and define technical problems and recommend alternative solutions
  • Review, understand, and apply business requirements to guide the creation of a comprehensive, coherent, and effective overall data architecture for PSJSP
  • Prepare and propose standards and templates for documenting data definitions, data provenance, and data structures
  • Lead and collaborate in the creation, maintenance and dissemination of data models, mentoring PSJSP staff in the skills and techniques required
  • Participate in the creation, maintenance and dissemination of data documentation
  • Collaborate in the creation, maintenance and testing of database backup and recovery and business continuity protection procedures
  • Collaborate in the creation and implementation of procedures to ensure data quality, data integrity, security enforcement, and data retention according to SCC policies and regulatory or business requirements
  • Monitor and tune database performance, including making recommendations for creating or updating indexes, query modification, or changes to data structures as appropriate
  • Participate in the establishment of guidelines and code review of data related artifacts, including integrity constraints, triggers, views, and stored procedures
  • Prepare weekly status reports
  • Coordinate with other ISD staff and management
  • Coordinate project activities with customers and external stakeholders
  • Provides leadership and mentoring to other Data Architecture team members
  • Recent relevant experience involving a complex, multiple application and multiple agency environment with both traditional data warehouse and big data is strongly preferred
  • Ability to understand, model, and portray the big data picture, spanning multiple applications
  • Ability to define and implement practices for aligning data architecture with business requirements
  • Knowledge of both established and emerging data technologies, including the ability to identify when each can be effectively applied and the advantages / disadvantages of each
  • Ability to clearly document data structures, data definitions, and data provenance
  • Understanding of data indexing strategies for a variety of data types
  • Knowledge of national standards and policies related to public safety and justice data, including NIEM and CJIS, is desirable
  • Ability to work closely with agency and department technical and management resources
  • Must be able to produce high quality work, both independently and on a team, in a fast-moving environment
  • Must be able to plan and prioritize personal tasking
  • 10+ years of related experience in software development, of which at least
  • Five years includes specific duties as a data architect, data warehouse architect, data modeler, or data analyst
  • Five years “hands on” experience managing one or more of the following database systems: Microsoft SQL Server 2008 or higher, Oracle, or IBM DB2, involving implementation of database schemas, indexes, and query optimization
  • Three years “hands on” experience implementing database stored procedures. Note: The above role specific experience may have been acquired concurrently
  • Experience defining and implementing data security, quality enforcement, and retention policies in a complex, multiple application environment
  • Experience creating, implementing and testing procedures for backing up and recovering databases
  • Experience supporting data management functions in public safety and justice domains (Court and Probation Case Management, Law Enforcement Records Management, Jail Management) is desirable
136

Data Architect Resume Examples & Samples

  • Performs data collection, analysis, interpretation and management duties
  • Develops rules and methodologies for data collection and analysis
  • Ensures the integrity of project data, including data extraction, storage, manipulation, processing and analysis
  • Consults with the external clients and internal staff to determine data management needs and objectives
  • May be responsible for database design, administration, security, and maintenance
  • Prepares presentations that reflect the results of the data analysis
  • Develops and delivers data-related training programs
  • Coordinates with scientists and other technical experts to design and develop statistical analyses methodologies
  • Provides guidance and work leadership to less experienced Data Analysts, and may have supervisory responsibilities
  • Minimum 6 months demonstrated on-the-job experience with the Cognos version 10.1.x or higher suite of tools to include Cognos Reports Studio and Cognos Query Studio
  • Minimum 3 years' demonstrated on-the-job experience with PL/SQL, SQL programming, and SQL performance tuning
  • Minimum 3 years demonstrated on-the-job experience modeling data for reports using Cognos Framework Manager
  • Minimum 3 years demonstrated on-the-job experience developing, deploying and supporting Enterprise-level Business Intelligence Dashboards with a diverse set of tools and tailored to a wide variety of audiences
  • Demonstrated on-the-job experience writing queries to extract data, testing developed reports and assessing impacts of changes
  • Demonstrated on-the-job experience using relational DBMS platform such as Oracle, Sysbase, DB2, TM1, SQL Server, Redshift, Postgres
  • Demonstrated on-the-job experience resolving customer problems and preparing documentation of procedures
  • Training certificate for Cognos Report Studio v. 10x (needed before candidate starts)
  • Demonstrated on-the-job experience with IBM Cognos Software Development Kits (SDK, Mashups)
  • Demonstrated on-the-job experience optimizing SQL performance for Business Intelligence reporting, including Star schema and relational database
  • 8-10 years of related statistics/data analysis experience
137

Data Architect Resume Examples & Samples

  • Must hold a current TS/SCI
  • Bachelor’s degree coupled with a minimum of four (4) years of related experience OR a High School diploma with a minimum of ten (10) years of related experience
  • Ability to work well independently and in a collaborative team environment  
  • 4-6 years of experience in data modeling, including conceptual, logical, physical, and big data models
  • Experience working with stakeholders to define user and data requirements for information exchange between systems
  • Experience creating, modifying, and developing of enterprise data management standards and processes
  • Experience data exchange implementations (especially NIEM standards)
  • Knowledge of XML, databases (SQL & NoSQL), data types, and structures
  • Familiarity with DoD and/or Marine Corps policies and procedures
  • Experience implementing data standards between systems
  • Excellent oral and written communication skills and an ability to translate complicated technical issues for a non-technical audience
  • DoD 8570 Level II certified or able to obtain within 90 days of hire
  • Experience with cloud and web service technologies
  • Experience with common big data technologies (Hadoop, Solr, Elasticsearch)
  • Experience with modern web application development frameworks and languages (Java, C#, Python, etc.)
  • Eagerness to learn and grow skill set
  • EOE/M/F/D/V 
138

Data Architect Resume Examples & Samples

  • Proven Data Architecture experience
  • Qualified architect practitioner (TOGAF, BCS ESA, Archimate or equivalent)
  • Proven track record of successful business systems development in a wide variety of project roles
  • Proven experience in the application of data definition standards e.g. ISO/IEC 11179 and data integration standards e.g. OAGIS
  • Good data integration knowledge and experience
  • Strong communication skills and customer facing
  • In-depth understanding of the management of data quality, obtained in a number of organisations applying differing forms of data governance
  • Awareness of security and information assurance concerns as apply to data
  • Capable of inspiring organisations whose cultures are averse to architectural approaches and who often fail to recognise data to be independent from process
  • Ideally experience within Energy and/or Telecom Industry
  • Knowledge of the energy industry
  • Existing / established relationships with Ofgem and Industry representatives
  • Experienced in applying architectural tools and methods e.g. UML, Casewise, ABACUS
  • Good knowledge of Smart Energy Code and DCC Licence Conditions
139

Data Architect Resume Examples & Samples

  • Define, analyze, and review architecture and technical requirements
  • Involve and recommend enterprise’s server hardware, operating system for the enterprise data warehouse
  • Participates in the drafting of Service Level Agreements (SLA)
  • Involve in enterprise application integration (EAI). This includes defining the opportunities for integration, selecting the tools, specifying the shared data and code resources, defining the interfaces and data-flows, and monitoring the success of said integration
  • Responsible for defining the application tiers, frameworks, components types and interfaces
  • Creates the first-draft graphical template of UML design models used by the Project Architects
  • Specifies recommended DBMS and ETL tools and technologies for structured and unstructured content
  • Reviews the policies and work of the Data Base Administrators
  • Provide framework, stewardship, governance, and decision making for the management of enterprise data for project development teams, business users and other stake-holders
  • Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision
  • Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise
  • Provide architectural solutions covering data structures, sourcing, integration, security, and retention
  • Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data
  • Involve in data roadmap, current / target state for enterprise data
  • 12+ years of experience in software development and database applications with most this experience in data strategy, souring, modeling, integration, and architecture
  • Experience in data analysis, data profiling, data integration, and data quality
  • Experience in tuning DataWarehouses
  • Extensive experience in creating data warehouses, data marts, and modeling (3NF and dimensional)
  • Data modeling experience creating both dimensional and relational models; ERWIN experience is preferred
  • Advanced knowledge of SQL, database performance, RDBMS, and Query tools
  • Prior experience in ETL, reporting and analytics, and business intelligence tools is preferred
  • Prior experience in health care domain is preferred
  • CBIP (certified business intelligence professional) from TDWI is nice to have
  • Ability to evaluate, analyze, design and implement solutions based on technical requirements
  • Ability to identify solutions to complex problems and business processes using tools and technologies to improve efficiency through automation, re-use, design patterns, and best practices
  • Strong verbal and written communication skills including interpersonal skills
  • Ability to communicate to a variety of audiences in both verbal and written form
  • Ability to collaborate with all levels of a complex organization to meet the needs of business and IT
  • Ability to deal effectively in a team environment and provide project direction and counsel, provide recommendations to senior management, and collaborate beyond the immediate project team to meet the needs of business
  • Excellent oral, written, and communication skills
140

Data Architect Resume Examples & Samples

  • Undergraduate degree (Computer Science, Information Systems, or Computer Engineering) or equivalent experience
  • 10+ years relevant work designing and implementing normalized and dimensional data models to satisfy complex information needs
  • 6+ years relevant work with Enterprise Information Management approaches including data migration, transformation and integration strategies
  • Developing Others - Supports the development of other’s skills and capabilities so that they can fulfill current or future job/role responsibilities more effectively
  • Organizational Capability - Evaluates and adapts the structure of assignments and work processes to best fit the needs and/or support the goals of an organizational unit
141

Data Architect Resume Examples & Samples

  • 5+ years’ experience with data analyses/ design and solution architecture for data integration, databases, and data mining concepts for data analytics and visualizations, and creating and developing ETL processes
  • Database design, data maintenance, database security, Data mining concepts, extractions, data cube and performance tracking
  • Experience with large data sets or Big Data
  • Experience in working with SQL, Hadoop, Teradata EDW, Teradata Aster and informatica
  • Proven experience designing the architecture of Data Warehousing and BI solutions in a multi-terabyte environment is a HUGE plus
  • Worked in Agile environments
  • Exposure to Informatica ETL tool, Hadoop Database, Or
142

Data Architect Resume Examples & Samples

  • Developing and delivering logical and physical data models, including the creation and maintenance of ERD diagrams and other documentation for large complex operational systems employing deep system integration and SOA architectures
  • Lead data architecture design and review processes, including planning and monitoring efforts, reviewing deliverables and communicating to management
  • Optimize existing processes for efficiency
  • Adhere to the system development life cycle and be responsible for time estimates for development efforts, and completion of deliverable within project timelines
  • With the knowledge and ability to perform in all of the basic database management skills of database administration, write/tune complex SQL, mentor junior SQL developers
  • 5+ years of experience with DB2 or Oracle
143

Data Architect Resume Examples & Samples

  • Bachelor’s degree in Computer Science or equivalent experience, plus
  • Ten or more years in software development/engineering, including requirements analysis, software design, implementation, integration, testing, and documentation
  • Ability to take verbal requirements for new analysis tools and features to prototype stage
  • TS/SCI clearance with current CI polygraph
  • Experience with Business Analytics/Business Intelligence (critical information delivery to customers via dashboards and visualizations)
  • Agile software development processes
144

Data Architect Resume Examples & Samples

  • Participate in the design, architecture and evolutions of the Datalake
  • Analyze the data sources and perform data exploration
  • Develop and maintain real-time data ingestion pipeline
  • Develop and maintain Batch ingestion processes
  • Develop and maintain Datalake through HDFS, Hive, Impala data structures
  • Develop new benchmarks and tools for Data performance measurement and capacity
  • Analyse and recommend best technologies available for services accompanied with the projects
  • Review, recommend and approve Data management
  • Apply and contribute on development best practices
  • Provide technical mentoring to the other team members
  • Perform deep unitary testing
  • Write technical and process documentation
  • Minimum 7 year experience in the industry with a minimum of 4 years in this role
  • Excellent Knowledge and experience of programming Java
  • Excellent knowledge in Distributed Streaming Platform Apache Kafka and it’s advanced features
  • Excellent knowledge in stream processing with Storm or Spark Streaming or similar technology
  • Excellent knowledge and experience of Cloudera Bigdata technologies (Hbase, HDFS, Hive, Impala)
  • Good Knowledge and experience of programming C# and Python
  • Good knowledge and experience Linux Server administration
  • Good knowledge of algorithm analysis and optimization
  • Good in collaboration & communication
  • Knowledge on ETL tool is an asset
  • Knowledge on other emerging open source project is an asset (like Druid etc)
  • Capacity to work under pressure and solve multifaceted problems
  • English fluent, French is an asset
145

Data Architect Resume Examples & Samples

  • Architect, design, and implement large scale and enterprise grade database solution
  • Direct all aspects of solution implementation
  • Lead data architecture team
  • Be a thought leader in the area of Data Architecture technology
  • Experience in administration and/or programming of one or more RDBMS such as Oracle, SQL Server, DB2, MySQL, PostgreSQL
  • Experience in administration and/or programming of one or more NoSQL databases such as MongoDB, CouchDB, Cassandra, HBase
  • Experience in database performance tuning
  • Experience in data architecture design
  • Having database certifications will be a plus point
  • Have a minimum of 3-5 years in relevant experience
146

Data Architect Resume Examples & Samples

  • Design Electronic Document Management (EDM) solutions for BPO client mobilization, including application requirements gathering, technical integration design and technology solution design
  • Support Technology Blueprint and technology costing in support of Sales efforts related to EDM solutions
  • Drive standard solutions through the sales process
  • Support development of and improvement of standard technology offerings for the BPO
  • Work with Application Architects in defining software / hardware requirements and in planning and delivering architecture
  • Work with AO for BPO development managers to estimate costs for custom solutions
  • Support the Technical Architect in the completion of all tasks related to the technical integration and service levels for a group of technologies
  • Assist with the design, build, rollout and run support for technology solutions supporting Service Delivery factories
  • Experience in designing database and data warehouse architectures, including design of tables and SQL views is a must
  • Coding and testing Transact SQL statements; tuning of SQL code and databases
  • Designing and testing reports and/or other business intelligence solutions such as analytics UIs or dashboards
  • Experience in the design of Extract, Transform and Load architectures
  • Designing conceptual and logical data models
  • Designing and implementing OLAP databases and data model
  • Experience in data administration processes
  • Experience in the following software products: Microsoft SQL Server, Microsoft Analysis Server and OLAP, Microsoft SSIS, Microsoft Reporting Server and Reporting Services
  • Strong operational and client focus
147

Data Architect Resume Examples & Samples

  • Formulate solution options and recommendations for the Enterprise Data Warehouse and Digital Strategic initiatives
  • Develop logical and physical reporting and analytical data models to meet the needs of the organization
  • Data mining, profiling and transformation
  • 6 - 10 years experience in related field required
  • In an agile manner
148

Data Architect Resume Examples & Samples

  • Set the data architecture strategy for the program by architecting and implementing fast, secure and scalable data pipelines
  • Create the blueprints for the data management systems to integrate, centralize and maintain data sources
  • Support for data migration / ingestions, ETL, and REST APIs in a NoSQL environment
  • Ensure performance, scalability, security, and availability of data platform
  • Set data architecture roadmap to align to product roadmap
  • Recommend and implement enhancements to the data environment and infrastructure
  • Support development across the tech stack
  • Stay current on advancements in data management innovation
  • Provide support in requirements gathering / mapping and gap analysis
  • Work with minimal guidance; seek guidance on only the most complex tasks
  • Utilize languages such as: NoSQL, SQL, XML, Hive, Pig, Spark, SPARQL
  • 7+ years of experience in data management / development
  • 3+ years of work experience with NoSQL solutions or experience with Big Data
  • Proven experience with data architecture principles, as well as multiple types of database technology (document, relational, XML, object, Hadoop, NoSQL)
  • Organized, able to think beyond what is asked for, and able to juggle competing priorities in a fast-paced, often evolving environment
  • Experience prototyping and performance tuning applications deployed across multiple operating systems, languages, and computing platforms
  • Experience working on projects focused on data science, big data, and analytics
  • Experience with Document and data formats - JSON, XML and related technologies
  • Experience with Hadoop and cloud computing
  • Experience with integrating database into continuous integration / deployment (CI / CD)
  • Excellent communication (verbal and written) and interpersonal skills
  • Experienced with advanced concepts of source code management; including branching, merging, and rebasing
149

Data Architect Resume Examples & Samples

  • Leading the design process as part of the data design and architectural governance team for large projects and programmes
  • Responsibility in the analysis stage of projects: responsibility for the Data Architecture Document, and supporting the Technical Architecture
  • Liaising with stakeholders for architectural design of projects and provide architectural and technical expertise to the client and to the project team throughout the product lifecycle, from strategy to live support
  • Solution governance and quality assurance against blueprints and applicable standards including membership of various Technical Design Authorities
  • Maintaining expertise in data architecture and familiarity with industry developments in associated areas
  • The development of detailed plans and management reports
  • Communicating, improving and implementing the key principles, methods and models that describe the enterprise's future state
  • Advising and participating in the specification, selection, design, implementation and operation of information security controls to maintain the confidentiality, integrity, availability, accountability and relevant compliance of information systems to security standards
  • Played a hands-on lead role in the data architecture design element of a major projects and programmes
  • Extensive knowledge of designing, building and using enterprise data models as the foundation for a data architecture
  • Extensive experience of traditional data modelling techniques such as IDEF1x, IE and class modelling using UML
  • Extensive knowledge of conceptual and logical data modelling patterns, including the use of super type/subtype hierarchies, bills of materials etc
  • Extensive knowledge of designing and building enterprise data warehouses and data marts
  • Experience of the creation and maintenance of conceptual, logical and physical data models using a range of modelling and architecture tools, for example
150

Data Architect Resume Examples & Samples

  • The Data Architect will oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers, address data related problems in regards to systems integration and compatibility, as well as act as a leader for coaching, training and providing career development to stakeholders
  • Create data capacity planning, life cycle, duration, usage requirements, feasibility studies and other related required tasks
  • Design and Develop Application Data Models
  • Develop and deliver long-term strategic goals for data architecture vision. Global and divisional stake holder standards must be met while creating short term tactical solutions to reach the long-term goals mapped out over all data management
  • Ensure the consistent use of Enterprise Reference Data within the application and “Data Warehouse” data models
  • Select and implement the appropriate tools, software, applications, and systems to support data technology goals
  • Act as liaison to vendors and service providers to select the products or services that best meet company goals and requirements
  • Ability to review and provide feedback for internal and partner developed deliverables
  • An understanding of the commercial implications of decisions made at all project lifecycle stages
  • Proven experience working in with third party service providers including offshore resources on delivery programs and projects
  • Knowledge of all phases of SDLC and full lifecycle implementations
  • Database Technologies: Oracle (essential), MS SQL Server (preferable), DB2 (preferable) Teradata (preferable) , MS Access
  • BI and Data Management Tools: Business Objects, Crystal Reporting, Qlikview, Erwin, Informatica, Trillium
  • Others: XMLSpy, Eclipse, Visual Studio, SharePoint
151

Data Architect Resume Examples & Samples

  • 1) Contribute expert level consulting on data design and implementation for projects and processes
  • 2) Ensure best industry and Scotia practices are applied to the handling and management of data
  • 3) Coach and educate sponsors, internal customers, designers and developers on best industry and Scotia practices are applied to the handling and management of data and the data aspect of all system and process designs
  • 1) Expert knowledge of data architecture principals
  • 2) Expert knowledge and experience in data requirements gathering, data modelling and database design
  • 3) Working understanding (or better) of Hadoop Data Lake design
  • 4) Experience in Financial Services, ideally banking payments and deposit products, business, systems or solution design
  • 5) Experience with IBM's Information Goverance Catalogue and Data Architect or ERwin data modelling tools is an asset
152

Data Architect Resume Examples & Samples

  • Co-operating with the DataLab team in all kinds of data mining and project activities
  • Acting as a Subject Matter Expert for cross divisional important projects in relation to data architectural issues and data mining activities to facilitate analysis tasks of the CDA
  • Performing data analysis of existing CIB / Global Transaction Banking (GTB) systems in relation to Reference Data Services (RDS)
  • Supporting data delivery for the introduction of a golden source for CIB / GTB for parties, products, instruments and common reference data
  • Co-ordinating and supporting groups in the business who need data architectural help
  • Co-operating with the Reference Data Manager who links into the bank wide Reference Data Services (RDS) programme
  • Performing data oriented tasks for the adoption of all CIB systems across locations to RDS
  • Educated to Bachelors degree level or experience in Information Technology (IT) or Banking (or equivalent qualification / work experience)
  • Previous experience in data modelling, business intelligence, analytics, canonical data model definition, data governance, data integration and data migration
  • Software Development and database implementation (beneficial)
  • An understanding of business use cases and defining data domains that will structure multi-dimensional modelling
  • Knowledge of workflows, systems and applications within a complex environment
  • A basic understanding of Transaction Banking and Corporate Finance products, knowledge in Core Banking software
  • Good Microsoft (MS) Office products knowledge (Access, Excel, Visio and Powerpoint)
  • Skills in relational databases (Oracle) and Big databases (Hadoop) (beneficial)
  • Ability to work in an international environment
  • Creative and pro-active with an ability to work under pressure
  • A self motivated team player with a service and customer focus
153

Data Architect Resume Examples & Samples

  • 5 or more years of data analysis, data modeling, data integration experience, working
  • Experience with Master Data Management, Data Quality, Big Data, or Analytics
  • Hands on and solution architecture on the Salesforce platform
  • Salesforce Certified Consultant and Developer
  • Certified Data Management Professional, or equivalent credential
154

Data Architect Resume Examples & Samples

  • Organize working sessions with business/development teams to understand sources of data and expected output
  • Determine database structural requirements by analyzing operations, applications, review objectives with stake holders and evaluate current systems
  • Develop database solutions by designing proposed system, defining database physical structure and functional capabilities and data security requirements
  • Develop flowcharts and documentation
  • Apply optimum access techniques
  • Coordinate DDL and DML actions
  • Maintain database performance by identifying and resolving production and application development problems along with data integration
  • Install new releases, complete maintenance; answer any user questions
  • Prepare users by conducting training
  • Accomplish information systems and organization mission by completing related results as needed
  • Lead the data migration team to capture the current state of source databases, define the architect for target state and design the target data model
  • Lead the integration efforts with other work streams to realize the common goal of designing the target state architecture
  • Develops and validates data modeling solution
  • Responsible for analyzing and designing the process to capture the data lineage from source to target
  • Advise the implementation teams on the interpretation of proposed and final rules and rule requirements
  • Understand and drive resolution of complex issues
  • Define standards for naming, describing, governing, managing, modeling, cleansing, and enriching
  • Collaborate directly with the with Data Warehouse Enterprise Architect to build conformed models across multiple Data Warehouses
  • Over eight years proven data or integration architecture experience
  • Over ten years overall IT experience
  • Must have over five years of experience in database technologies, data design and performance optimization for large OLAP, Columnar DBs and Data Warehouse solutions
  • Must have very sound understanding of data access technologies, frameworks and patterns
  • Expert in relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems
  • Skilled in data profiling, business domain modeling, logical data modeling, physical relational data modeling and design
  • Proven expertise in data analysis and facilitation; i.e. able to produce data designs using a variety of inputs such as requirements analysis, SME interviews, business process, data flow analysis, and data profiling
  • Ability to work in a large, complex business and technical environment
  • Experience with Insurance and/or Claims Data preferable
  • Experience with Erwin or similar data modeling tool
  • Strong SQL expertise is a must
155

Data Architect Resume Examples & Samples

  • Set technical direction for DRG's business units’ RWD data solutions
  • Be part of the team implementing the RWD platform and its capabilities using an iterative approach
  • Provide mentoring and technical leadership for distributed team of engineers (Full Time, Vendor and Contractors)
  • Work with Product Owners, Business Analysts, Architects and other stakeholders to participate in business requirements and produce technical designs and development plans
  • Communicate complex technical topics to non-technical resources and leadership. Provide technical input on alternative approaches to issues that arise
  • Communicate and enforce coding standards. Perform code reviews and support an Agile, Test Driven development methodology
  • 10% travel to subsidiary sites and other locations
156

Data Architect Resume Examples & Samples

  • 7+ years of data and analytics work experience
  • 5+ years Microsoft SQL Server
  • 5+ years Visual Studio/.net/Java/SOA
157

Data Architect Resume Examples & Samples

  • 10+ years IT application development project experience including analysis, development and testing
  • 5 + years experience of data warehousing/data mart/analytics projects
  • 3+ years health insurance industry/data experience
158

Data Architect Resume Examples & Samples

  • Adheres to SYKES policies on ethics and integrity
  • Administration & maintenance of SYKES global data warehouses, operational data stores, and data-marts
  • Business analysis and solution design for data warehousing and reporting related initiatives
  • Data modeling for SYKES global data-marts, warehouses, operational data stores and applications
  • Extract, transform and load (ETL) process development and support using Microsoft SQL Server Integration Services as well as legacy tools (as necessary)
  • Participates in team or individual efforts to design data solutions for internal and external clients, with leadership responsibilities assigned as appropriate
  • Acts as a subject matter expert for the Data Services team, as well as internal and external clients, on key datasets
  • Helps to define and implement standards and practices for data warehousing initiatives throughout the company
  • Monitors and identifies warehousing-related performance issues
  • Problem analysis and troubleshooting
  • Design and development of some reports using Microsoft SQL Reporting Services
  • A commitment to quality work and the motivation to deliver that work in a fast-paced environment
159

Data Architect Resume Examples & Samples

  • Supports strategies to minimize net credit losses by maximization of dollars recovered from written-off accounts (outside collection/repossession agency/attorney management). This includes assisting with on-boarding new vendors by requesting and organizing information associated with the RFP process
  • Delivers continuously improving year on year expense results by improving processes and increasing productivity
  • Builds solid peer-to-peer relationships in a team environment to meet operational needs
  • Communicates effectively and clearly on a daily, weekly, monthly basis with outside vendors to provide exceptional customer service regarding routine requests
  • Supports rigorous quality, control and compliance programs to include an ongoing control/compliance self-assessment process
  • Performs data entry, system coding, inventory audits, reconciliations, etc. to ensure alignment between vendor systems and Ally systems
  • Responds promptly to vendor requests (information, data, letter generation, etc.) on an as needed basis
  • HS diploma or equivalent required
  • Prior experience in financial services or similar industry preferred. Associate's degree or Bachelor's degree in business or related may be used as a proxy for the experience
  • Basic knowledge of general/standard office and administrative procedures and methods
  • Basic data entry and word processing skills
  • Oral and written communication skills sufficient to provide routine information, greet visitors, answer inquiries, and refer calls
  • Computer skills sufficient to prepare policy manuals and enter data on spreadsheets
  • In limited subject areas judgment is required to determine the applicability of guidelines or policies to specific situations
  • Some ingenuity and initiative required to collect information, coordinate activities with others, and resolve routine and/or factual problems
160

Data Architect Resume Examples & Samples

  • Data Modeling- They need to be comfortable with ERwin and Power Designer to develop physical, logical and conceptual data models and diagrams
  • Data Analysis- Strong SQL skills and data profiling. Comfortable with Informatica or similar data profiling tool
  • Background in various platforms: Microsoft SQL server, Oracle, DB2 or Netezza
  • Understands the "big picture" and constituent parts
  • ITSM/ITIL
161

Data Architect Resume Examples & Samples

  • House database expert and authority by defining, implementing, and enforcing all data integration standards and documentation. Review and suggest improvement to the data architecture processes, policies, and vision and explore new and emerging technologies. Lead the investigation and adaptation of beneficial data architecture technologies and tools and lead strategy, development, and implementation of an Enterprise Data Model and strategy development for usage of Operational Data Stores. Develop transparent and well understood enterprise data governance processes, rules, and technologies to support them, identify and promote best practices for data modeling within information areas, and provide oversight for all activities related to data cleansing, data quality, and data consolidation
  • 6 years of experience with data architecture, data modeling, and database design and administration, including Sybase
  • Experience with Sybase ASE, Sybase replication server, and Enterprise Data Connect (ECDA)
  • Experience with data modeling tools, including ERStudio and ERWIN
  • Knowledge of relational DBMS and SQL
  • Ability to present solutions precisely to various levels of management and work across different groups and perform limited project management to implement the proposed solutions
  • Experience with database related project management
  • Experience with data analytics and business intelligence solutions
  • MA or MS degree in CS or IT
  • Database and project management certifications
162

Data Architect Resume Examples & Samples

  • Design, develop, test, and deliver self-service infrastructure and business intelligence (BI) content including reports and dashboards to business professional using the IBM Cognos BI and Qlikview
  • Gather requirements from business users, build out process analysis, schedules and assignments, communicate status updates, and coordinate user acceptance testing and issue management
  • Develop best practices for solutions that help end users access and analyze data in data warehouse, data marts, and operational systems
  • Assist business users with Cognos Ad-Hoc reporting and troubleshooting post-production issues
  • Provide Cognos training and data warehousing space to business users
  • Promote and provide support for BI solutions/capabilities to the business user community as well as executives
  • Interact with other BI team members, offshore team members, and cross-IT staff on support and project activities
  • Perform early stage analysis of reporting requests to formulate high level approach and estimates
  • Design and support the data model required for all reporting needs inside the company
  • Work primarily with data modeler, ETL, and BI Manager to design business intelligence and operational reporting solutions
  • Articulate data sourcing and data model requirements to ETL and database resources and collaborates on development
  • Optimize query performance of SQL statements and ETL jobs
  • Contribute to the ongoing development and improvement of BI reporting processes and standards
  • Execute rapid prototyping for new report requirements using open source, Hadoop, etc
163

Data Architect Resume Examples & Samples

  • Familiar with Oracle
  • Familiar with ElasticSearch
  • Familiar with MongoDB
  • A minimum of thirteen (13) years experience in software engineering/development and/or systems engineering/analysis
  • Must possess experience in all phases of software engineering to include requirements analysis, development, testing and integration, maintenance and problem diagnosis/resolution and/or experience in phases of applications systems analysis to include evaluation and design, integration and optimization of complex systems
  • Must have experience with communication applications, database management, use of programming languages and knowledge of storage and retrieval methods
  • Responsible for developing applications software for small to highly complex computer systems or portions of large integrated systems and/or for providing analysis and engineering of functional aspects of software and hardware architecture and system support
  • The candidate will prepare detailed specifications from which software products will be designed and/or candidate will translate documented designs into software products by developing, documenting, testing and debugging code
  • Applications generally deal with utility programs, job control language, macro, subroutines and other control modules
  • Candidate shall be competent to work at the highest level of all phases of software engineering and/or all phases of applications systems analysis with minimal direction or oversight
  • At least three years of direct experience with and intelligence community or signals intelligent activity
164

Data Architect Resume Examples & Samples

  • Utilize languages such as: NoSQL, SQL, XML, Hive, Pig, Spark
  • 10+ years of experience in data management / development
  • 8 - 10 years experience Unix Shell Scripting
  • 8 - 10 years developing ETL processes
  • 5 years experience in SSRS/SSIS
  • Knowledge of Hadoop/Big Data Technologies
  • Experience with Tableau Technologies
  • Experience with Datameer
  • Experience with HBase
  • Experience with Sqoop
  • Experience with SPLUNK
165

Data Architect Resume Examples & Samples

  • Analyze and translate client's needs into an industry-leading enterprise data architecture that seamlessly integrates the current system and data asset with the new strategy
  • Develop the vision for an ever-evolving Data Quality improvement strategy that not only satisfies current needs but can be easily adapted to future needs as new sources of data input and requirements for data output are identified
  • Responsible for designing, testing, deploying, and documenting data quality procedures and their outputs
  • Partner with data stewards to provide summary results of data quality analysis, which will be used to make decisions regarding how to measure business rules and quality of the data
  • Document at a functional level how the procedures work within the data quality applications
  • The primary tasks associated with this role are to use data quality tooling to profile the project source data, define or confirm the definition of the metadata, cleanse and accurately check the project data, check for duplicate or redundant records, and provide information on how to proceed with backend ETL processes
  • Work closely with data stewards, ETL developers, and business analysts demonstrating the ability to partner and maintain confidence as it relates to coordinating disparate information while being able to translate for downstream consumption
  • Research all available technologies, determine suitability and provide guidance on the best solution for the project at hand
  • Guide team members by offering support, advice and best practices recommendations throughout the project implementation
  • Employ extreme attention to detail and flexibility to adapt to dynamic client environments and changing business, operations and technology priorities
  • Support prototyping activities that will validate business requirements, solution definition and minimize risk
  • Assist in data quality assurance and testing strategy
  • Work directly with team members from different lines of business and the applications development teams
  • Involved in resolving complex data related issues
  • Think and plan strategically while formulating software / data specifications; thus aligning with the long-term business roadmap
  • Delegate work to offshore team members and validate the work done
  • Minimum of seven years related experience in leading strategies, designing approaches and understanding technologies for Data Quality processes in large scale data management environments
  • Strong knowledge of Data Quality improvement tools such as IBM Information Analyzer, Informatica IDQ and IBM Quality Stage
  • Extensive experience with and success in managing projects from inception to production rollout and support
  • Outstanding communication skills that foster professional relationships among internal and external team members as well as efficient work processes
  • Strong hands-on SQL experience is required to facilitate analysis and implementing data transformation rules
166

Data Architect Resume Examples & Samples

  • Plan, design and implement Data Management Program
  • Develop high level architecture/ Roadmap/blue print
  • Study As-is and To-be architecture – Identify Gaps
  • Implement Data Management Maturity Model (DMM) concepts
  • Recommend improvements – processes, policies, tools
  • Organizing and managing the technical DATA team of data architects, data modelers, engineers and providing leadership, guidance, and mentoring
  • Improving and implementing the Data Warehouse/ETL/data mining/data visualization processes
  • Collaboration/coordination with rest of the team in each Data-Phase to deliver artifacts
  • Producing and maintaining requirements, data architecture, and design documents
  • Maintaining an environment conducive to professional growth and staff development
  • Solid understanding of industry standards and IT terminology, technical concepts, data architecture, DMM and database administration principles and procedures - Experience developing and maintaining project plans including schedules, project requirements, and delivery
  • Hands-on expertise in the full data lifecycle areas of: data modeling, ETL, data warehousing, reporting, data exploration and visualization, analytics and data provisioning - Extensive experience in IT- relevant industry areas and an understanding of the surrounding strategic issues that may impact potential customer - Excellent presentation, written, and verbal communication skills at both the engineering and senior executive levels - Superior analytical and problem-resolution skills, with attention to details - High energy, strong work ethic, and able to perform within condensed timeframes - Developing and maintaining best practices and maintaining required documentation - Perform requirement analysis and makes recommendations - Possess or able to obtain a DoD IAT Level II IAT baseline certification (e.g. CompTia Security + CE) (this is a day 1 requirement) - Possess or be able to obtain a computing environment certification in accordance with DoD Mandate 8570 (obtain within 180 days from hiring)
  • Bachelor’s degree in Computer/Engineering and 5 years’ experience or related experience or a Master’s degree and 3 years’ experience
  • A minimum of 5 years of successfully performing in a role of major responsibility tied to large data intensive projects with tight deadlines
  • 5+ years of comprehensive database experience with SQL Server and/or Oracle
  • A minimum of 5 years of professional experience as a Data Engineer / Data Architect
  • Advance degree in Computer Science / Computer Engineering / Information Systems or related discipline
  • Experience in data modeling and database design, knowledge across all phases of data modeling, from conceptualization to database optimization
  • Performance problem identification and resolution assistance
  • Data security, recovery, database health practices
167

Data Architect Resume Examples & Samples

  • Assesses complex problems and investigates, develops, appraises, selects, and presents solutions. Initiates concept development and trade-off studies
  • Interfaces extensively with customers, employees, and managers
  • Responsible for researching, planning and overseeing the implementation of complex systems level design concepts and equipment to include interfacing
  • Provides guidance to less experienced systems engineers
  • Performs complex assignments with little guidance
  • Certification in a cloud technology a plus
  • Version control systems
168

Data Architect Resume Examples & Samples

  • Reviews, evaluates, and designs data services, physical and logical data models and implements high quality data architectures
  • Provides unique expertise in data system design, applied to complex healthcare-related data from disparate data sources (such as Electronic Medical Record extractions, clinical trials data, healthcare outcomes data, etc.)
  • Designs and develops database systems, together with their corresponding data models and high-level information architecture
  • Identifies key data sources from target systems to meet project requirements, constructs data quality control solutions, provides data flow diagrams and implements conformant data warehouse designs to support high-quality reporting, analytics and BI
  • Designs and implements ETL processes for efficient data extraction from disparate clinical systems and databases
  • Data management and analysis, including daily data updates, review, and evaluation; query and stored procedures revision; data scrubbing; code modifications and construction; design and implementation of Date Dictionaries and Data Standards
  • Strong conceptual, logical and physical data modeling, data lineage \ data flow mapping and data quality
  • Strong years of data warehouse design and development
  • Prior solid experience with healthcare \ life sciences \ clinical trials \ pharma data
  • Strong experience with at least one RDBMS, e.g. Oracle, SQL Server, etc
  • Strong SQL \ T-SQL \ PL/SQL
  • Strong skill in the use of least one ETL tool, e.g. SSIS, Talend, etc
  • Strong skills in general software development and systems administration, e.g Linux sys admin, Java development, etc
169

Data Architect Resume Examples & Samples

  • 10 years data modeling experience with large scale models
  • Expert with data modeling tools (Erwin / ER Studio)
  • Experience in Data Architecture and Database design patterns
  • Thorough understanding of database technologies (RDBMS and NoSQL)
  • Expert in Search Engines and their optimizations (Solr, ES etc.)
  • Ability to reverse engineer existing databases
  • Ability to build both transactional as well as dimensional models
  • Experience mapping data elements for ETL purposes
  • Experience generating physical DDL to deploy to databases
  • Create and maintain the Enterprise Data Model at the Conceptual, Logical and Physical Level
  • Steward of Enterprise Metadata Architecture & Standards
  • Strong skills in data modeling, partitioning, parallel query, performance analysis (xplan, statspack), tuning, and handling large data volumes
  • Strong experience with UNIX support tasks, scheduling and scripting skills
  • Strong knowledge of relational DB normalization
  • Strong Oracle background is a plus
  • Participates and leads the creation and maintenance of Canonical Models for Integration
  • Leads proof of concepts certification, vendor and product selection for data management technologies
  • Proven ability to meet deadlines
  • Experience with Elastic Search
170

Data Architect Resume Examples & Samples

  • Experienced in design and implementation with Big Data Solutions and distributed applications
  • Experience in data warehouse or database architecture
  • Experience with startup or startup like working environment
  • Bachelor's degree in Computer Science or equivalent; Masters preferred
  • Demonstrate high learning agility
  • 8+ years software/technology client-facing experience
171

Data Architect Resume Examples & Samples

  • 7+ years design and implementation experience with distributed applications
  • 5+ years of experience in infrastructure or database architecture
  • 3+ years of experience in cloud application architecture using AWS
  • Open to upto 50% travel when needed
  • 3+ years software/technology client facing experience
  • Experience architecting/operating solutions build on MS Azure, IBM Cloud, Salesforce, etc
  • Architecture and security certification
  • Design cloud-based architectures to build and scale digital solutions including statistical data analyses, data mining, BI, Data warehouse and optimization
  • Help clients migrate to cloud by providing strategic direction, designing and driving architecture and implementation plan
  • Implement robust security measures
  • Practice DevOps and agile principles
  • Technology thought leader with McKinsey and Client teams
  • Be a Big Data/Cloud evangelist. Educate McKinsey and Client teams on Big Data/Cloud Architecture
  • Lead technical design workshop to co-create solution and architecture with client
  • Participate actively in external/internal meetups e.g., speak at conferences, author book
172

Data Architect Resume Examples & Samples

  • Bachelor's degree in Computer Science or equivalent, Masters preferred
  • Open to upto 50% travel
  • Participate actively in external/internal meetups e.g., speak at conferences, author boo
173

Data Architect Resume Examples & Samples

  • Advanced knowledge of standard data modeling tools, include Erwin 7.3 or Embarcadero ERStudio 9.0
  • Experience in implementing at least one project in the big data space
  • Contributes to establishment of Enterprise Data Standards
  • Develops strategies for warehouse implementation, data acquisition, and archive recovery
  • Provides consultation on complex projects and is considered to be a senior level contributor
  • Expert understanding of database architecture and design
  • Advanced knowledge of standard data modeling tools, including Erwin 7.3 or Embarcadero ERStudio 9.0
  • Expert in design and development of relational data warehouses and OLTP systems
  • Excellent verbal and written communication skills, client relation skills, and the ability to work effectively as a leader in a technical team environment
  • Works well within AGILE project management methodology
  • Works well in a fast-paced environment
  • Ability to present ideas and updates to senior management
  • Ability to work with business users
  • Direct inquiries only
  • How to Apply: Click on the Apply button to apply for this job
174

Data Architect Resume Examples & Samples

  • Thoroughly understand the company's business, industry, products, and product data architectures
  • Viewed as data subject-matter experts and provide recommendations to project team members and less experienced data analysts on data architecture directions
  • Act in a leadership capacity by leading the transformation/maturity of data services and components of Master Data Management and Data Governance initiatives
  • Act as a project leader for internal group projects
  • Build and sustain trusted partnerships across the Enterprise
  • Perform and facilitate data warehouse architecture and analysis and perform/lead dimensional data warehouse design and modeling
  • Analyze business requirements and gather data requirements to build complex conceptual, logical, and physical data models
  • Use group facilitation and other advanced interviewing techniques to gather data requirements and perform complex impact analysis
  • Restructure data for conversions to a database management system
  • Perform reverse engineering to analyze data of existing applications
  • Research, recommend, and promote data modeling standards (e.g., modeling conventions, naming standards, domain definition, etc.)
  • Analyze and design meta data
  • Ensure reuse of existing data
  • Troubleshoot and resolve table and/or component interfacing issues
  • 8+ years data modeling and other data oriented work experience
  • Applicable industry-related experience
  • Preferred post-secondary education in a computer-related field of study
  • Demonstrated proactive leadership in the maturity of data services across an Enterprise
  • Demonstrated establishment of trusted partnerships across the Enterprise
  • Emphasis in leading significant data initiatives in various data dimensions (e.g. Master Data, Meta Data, Big Data & Analytics, etc.)
  • Demonstrated experience in designing and implementing data warehouses, data marts, etc .using star schemas, dimensional modeling etc
175

Data Architect Resume Examples & Samples

  • 6+ years of experience with information and data architecture
  • Experience with data modeling and developing logical and physical data models
  • Experience with database design
  • Knowledge of ERwin or other data modeling tool
  • Knowledge of configuration management concepts and processes
  • Experience with UML modeling tools, including IBM Rational System Architect preferred
  • Experience with Oracle 11g, 12c, and RAC
  • Experience with developing enterprise information management strategies and plans
  • Experience in working with federal government organizations
  • Knowledge of Open Data Requirements
  • Active Public Trust clearance
176

Data Architect Resume Examples & Samples

  • Bachelor’s degree in Computer Science, Information Systems, another related discipline, or equivalent work experience in the software development field will be considered
  • 10+ years of experience in delivering enterprise-class, mission-critical, commercial, and scalable products
  • 10+ years of experience with Microsoft SQL Server. Recent 2012 and/or 2014 experience is preferred
  • 5+ years of experience with offline data systems including data warehouse and data mart design and implementation
  • Full understanding of the software development life cycle
  • Strong knowledge of data modeling and ETL best practices
  • Offline data stores: data warehouse, data mart, data lake, etc
  • Domain-Driven Design
  • Micro-Services Architecture
  • Modeling data for modern systems and distributed application architectures
  • Writing, troubleshooting and optimizing SQL queries
  • Designing and implementing ETLs and data migrations
  • Replicating or otherwise making transactional data available to back-end uses without negatively impacting the transactional systems
  • NoSQL, non-relational data stores including
  • Quickly learn and apply new concepts, information, techniques and tools
  • Work independently as a self-starter with a hands-on approach
  • Define problems, collect data, establish facts, and draw valid conclusions
  • Comprehend multiple abstract and concrete variables simultaneously
  • Remain detail oriented while multitasking and meeting multiple deadlines
  • Work on multiple projects at a time in a fast-paced team setting
  • Work with diverse groups of technical teams and non-technical business teams
177

Data Architect Resume Examples & Samples

  • 3+ years of experience of deep experience with designing and scaling data
  • 1 Experience in OLTP, OLAP, and unstructured data across numerous data platforms
  • Statistical modeling / data mining: Strong familiarity and hands-on experience with SQL/ NOSQL and statistical software packages (Python, R or SAS)
  • Cloud, big data, stream analytics experience
178

Data Architect Resume Examples & Samples

  • Create data architectures and logical and physical data models to support program/project initiatives in
  • Define measurable metrics and the minimal required attributes for each domain or subject area to
  • Assess the enterprise requirements, understand the current state of data integration challenges, and
  • Ability to serve as a change agent for enterprise & analytics architecture and influence technology
  • Bachelor’s degree in engineering, information technology, or computer science
  • TDWI’s certifications such as Certified Business Intelligence Professional (CBIP) or any other relevant
179

Data Architect Resume Examples & Samples

  • Client Credit Data Architect Data Architecture and Information Services (DAIS) is the group within the Enterprise Architecture Management and Services (EAM&S) department that is responsible for developing and maintaining data structures (physical database objects) and a repository for the formal definitions of the data and data structures (Global Data Dictionary) for all of client Credit globally
  • This includes data models, database structures, data flow diagrams, data model-equivalency mappings for new structures, storing data definitions, etc
  • Our areas of involvement are data modelling, metadata management and business semantics. We are also responsible for enforcing global standards on the above, and ensuring global consistency in accordance with Credit’s Global Data Strategy
  • Working with application & business resources to develop information/data architecture requirements
  • Responsible for the gathering of data architecture requirements through facilitated sessions of Use Cases and for designing data models based on those requirements
  • Understand data architecture requirements across projects working with the functional owners and business analysts and consolidate data architecture requirements
  • Develop new data structures in operational databases or data warehouses/marts to support online transactional processing (OLTP) or business intelligence (BI) following the global data strategy
  • Create Database Change Requests and Data Definition Language (DDL) to implement and maintain database structures
  • Ensure the accuracy, validity, and reusability of meta-data via GDD (Global Data Dictionary)
  • Assist application teams with database performance improvements
  • Experience in database design with transactional or analytical databases preferred
  • Proficiency with the following applications: ERwin, SQL, and technologies
  • Experience working with business customers and global groups
  • A strategic view and approach to streamlining current data architecture and process
  • Experience in DB2, Oracle, SQL Server, or Teradata and knowledge of associated tools
  • Prior knowledge or experience of Credit Data Architecture Processes
  • 4 Year College Degree
180

Data Architect Resume Examples & Samples

  • Work with clients, business analysts, technical staff, and project team members to plan, design, develop, implement, and enhance applications, scripts, procedures, and metadata for relational databases
  • Create maintainable, scalable “Extract, Transform, and Load” (ETL) code to load and manipulate data in the data warehouse
  • Ensure the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle
  • Define and promote best practices and standards for information architecture and management
  • Serve as a key contributor in the research, evaluation, and procurement of appropriate database technologies and related tools
  • Work collaboratively with clinical program analytical and data management teams to develop analytical tools to manage/measure care processes, models, and clinical guidelines
  • Demonstrated success applying best practice performance tuning technologies and techniques to both database structures, as well as database queries and procedures
  • Understanding and experience in applying project management principles and best practices for development or procurement projects
  • Demonstrated understanding and successful application of proven database design principles such as: requirements analysis, data normalization, data modeling, risk management and quality assurance and for both On-line Transaction Processing (OLTP) and On-line Analytical Processes (OLAP) database systems
  • Possess a thorough understanding of: Business Intelligence/query and reporting tools and technologies, Structured Query Language (SQL), Procedural programming fundamentals
  • Comfortable and confident filling the facilitation role of design and analysis team meetings
  • Must possess excellent oral and written communication skills; must speak well in small groups and in other contexts, write precise, well-organized emails, letters and proposals while using appropriate vocabulary and grammar
  • Experience with Microsoft SQL Server 2005/2008/2012
  • Possess knowledge of quality improvement principles, theory, study design and statistical modeling/analysis
  • Possess an understanding of healthcare delivery and its associated administrative processes
  • Experience with current Extraction Transformation and Loading (ETL) tools and technologies
181

Data Architect Resume Examples & Samples

  • Understanding new tool implementation in a transformation and supporting the right processes in order to get systems in place
  • Strong experience with tool integration into environments with various tools and technologies like SAAS and homegrown platforms
  • Responsible for information architecture
  • Conduct proof of concepts
  • Implementation of tools and technologies into the environment
  • Exposure to COTS implementation
  • Being influential in how systems are being implemented
  • Strong experience with Microsoft VISIO
182

Data Architect Resume Examples & Samples

  • Design and build efficient ETL/ELT process to move data through the data processing pipeline to meet the demands of the business use cases
  • First-hand experience – Have a minimum of 6 years of professional experience focusing on building data movement and integration pipelines (especially ETL/ELT) in a large-scale data environment leverarging the latest open source and Java technologies
  • Visionary -- Solid understanding of software development from design and architecture to production
  • Have a data toolbox – Familiar with technologies relevant to the data and integration space including Hadoop, Redshift, Python, DI/DQ tools (like Talend), and MDM tools (such as Falcon)
  • Affinity for sports
  • Experience with Chef
  • Proficiency with agile development methodologies.Proficiency with linux/unix based systems
  • Bachelor’s degree or higher in Computer Science or a related technical field or equivalent job experience
183

Data Architect Resume Examples & Samples

  • Must possess all requisite knowledge, skills, and abilities as posted
  • Must demonstrate strong critical thinking and analytical reasoning skills
  • Ability to work on multiple priorities effectively
  • Ability to prioritize conflicting demands
  • Ability to execute assigned project tasks within established schedule
  • Ability to communicate effectively in the service of users and colleagues
  • Writes and communicates clearly and concisely
  • Possesses sound documentation skills
  • Must demonstrate exemplary customer service skills
  • Experience in Higher Education preferred
  • Experience in data driven applications, data presentation layer interfaces, data analytics across multiple sources, data reporting
  • Experience with business intelligence, analytical data mining Oracle SQL functions
  • Experience in relational databases (oracle/SQL server PLSQL language). Certification will be preferred
  • Experience with reporting tools such as Tableau , SQL server reports, Jasper soft reports
  • Experience with version control, change management, unit testing, peer review, QA
  • Experience on an Agile (Scrum) projects
  • This candidate must have some familiarity on data science , data mining and data analysis using R, Python or SAS
  • This candidate must be able to adapt quickly to an evolving technical landscape including industry standards, internal architecture, and customer needs
  • This candidate must have the ability to analyze and solve those business problems, and assess business needs to recommend and implement appropriate information technology solutions
  • This candidate must strive for technical innovation and efficiency
  • This candidate must be able to learn experientially and adapt to new systems quickly
  • This candidate must be comfortable operating in a deadline-driven environment
  • This candidate must be comfortable facilitating small and large meetings
184

Data Architect Resume Examples & Samples

  • Work diligently in and contribute to a fun, fast-paced, motivating and rewarding environment
  • Collaborate with others across the business to understand our customers needs and develop solutions for important problems
  • Design, document and help in implementing solutions that meet business, functional and nonfunctional requirements, and standards
  • Document and communicate design docs and also be responsible for communication with external customers, engineering and SLT
  • Excellent verbal and written communication skills (English - for non-US locations)
  • Strong technical engineering skills
  • Must have a working knowledge of some of the recent frameworks being used in the industry
  • Must be competent with Hadoop and real-time systems architecture
  • Flexibility - ability to work in an agile, fast-paced environment. Must be 50% hands-on
  • Be able to document and discuss design with both Senior leadership team and also the engineering team
  • Be able to give input on tools and environments used
  • Make sure that the software being developed and the system architecture are in sync
  • Have a phased approach to the final design so the system can be delivered in stages and still be functional
  • Resolve technical problems
  • Resolve disputes and make necessary trade-offs
  • Startup experience - a plus
  • Big data knowledge - a plus
  • Plugged into the data engineering data science community - a plus
  • Open source contribution - a plus
  • External presence in the data community (e.g. conferences, open source projects, meet-ups blogs, social media etc.) - a plus
  • Minimum degree: Bachelors; a plus: Master’s or Ph.D. Area of focus: engineering/science/applied math discipline. Minimum number of years experience: 8-10
185

Data Architect Resume Examples & Samples

  • Is comfortable working directly with business partners in Marketing, Finance and Operations at all levels of the organization (senior leadership, resort partners, and other technologists)
  • Possesses “can-do” attitude to dig into existing challenges, get creative, and efficiently build out solutions across the business
  • Is flexible and capable to work in different technologies and roles to achieve project goals
  • Has experience with SQL Server, SQL Analysis Services and SQL Reporting Services
  • Has experience building, operationalizing and maintaining data warehouses with different schemas
  • Has experience working with ETL technologies, specifically Informatica & SSIS
  • Has experience with Force.com Development (Apex, Java, etc.)
  • Has a passion for statistics & analytics, process engineering, and information management
  • 5+ years of experience with Microsoft SQL Server, including SSAS, SSRS, SSIS
  • 3+ years of experience with Master Data Management principles and technologies
  • 3+ years of experience with Salesforce.com
  • 2+ years of experience with reporting tools, like Micro Strategy, Tableau, PowerBI
186

Data Architect Resume Examples & Samples

  • 1) 5+ years of experience with information modeling, information visualization, data modeling, data management technologies, data integration, data sourcing, data analytics, data warehousing, metadata, semantics and ontologies
  • 2) Familiarity with modern data management concepts including Big Data stack, NoSQL, in-memory DBMS and data caching; graph databases, RDF/triple stores, and Wiki-based solutions
  • 3) Familiarity and experience in data protection and information security
  • 4) Strong understanding of large scale system, information and technology architectures, including application integration patterns, messaging, service-oriented architecture, information models, and data lineage
  • 5) Hands-on experience with data and process modeling tools (e.g., ERWin, ProVision, MagicDraw, PowerDesigner), and working knowledge of programming languages such as: Python, PERL, Java, JavaScript, C++, shell
  • 6) Demonstrated ability to work individually and as a part of the team in a collaborative manner
  • 7) Demonstrated ability to deliver results under demanding timelines to real-world business problems
  • 8) Willingness to learn new technologies, methodologies, applications and grow with team
  • 9) Strong writing and communication skills
187

Data Architect Resume Examples & Samples

  • Award-winning education and training across multiple career paths to help you reach your potential
  • A comprehensive benefits package designed to enhance your health, your financial well-being and your future
  • Minimum 7 years work experience as a Data Architect, 10 years preferred
  • 3+ years’ experience with database design and optimization on Oracle or SQL Server database platform
  • Demonstrated strength in data architecture (both OLTP transactional, real-time databases as well as Data Warehousing & Data Marts)
  • Demonstrated strength in data modeling of fully attributed models (Normalization, Star Schema)
  • Demonstrated expertise with repository creation and data and information system life cycle methodologies
  • Exposure to OLAP and Reporting tools (Cognos)
  • Excellent client/user interaction skills for requirements gathering
  • Hands-on knowledge of enterprise repository tools, data modeling tools (Informatica or ETL), data mapping tools, and data profiling tools
  • Strong Data Analysis and Data Architecture skills
  • Expertise in one or more CASE tools (ERwin, ER/Studio, etc.)
  • Strong ANSII SQL skills
  • Strong knowledge of Master Data Management (MDM) and associated processes
  • Strong knowledge of metadata management and associated processes
  • Ability to define and manage data and metadata migration
  • Ability to work effectively in a matrixed organization
  • Ability to clearly explain technical concepts to non-technical teammates
  • Self-directed; able to work independently; demonstrated ability to work in a team, facilitate effective team interactions, and to foster a positive work environment; willingness to assist teammates in order to achieve departmental goals
  • Demonstrated strengths in organizational, attention-to-detail, follow-through, and problem-solving skills
  • Strong written, verbal, and interpersonal communications skills including ability to listen attentively and to communicate information clearly and effectively
  • Strong analytical skills with the ability to seek underlying assumptions through probing, questioning, and listening
  • Strong organizational and planning skills – keeps self and others well organized and on task
188

Data Architect Resume Examples & Samples

  • Minimum of ten (10) years of specific in-depth experience in developing and operating data architecture programs based on GAO and OMB guidance
  • Demonstrates strong knowledge of Federal Enterprise Architecture programs (principles, concepts, transition strategies) at multiple Federal government agencies, with a specific emphasis on data architectures
  • Possesses data architecture best-practice experience from other Federal agencies
  • Coach and mentor junior staff members
189

Data Architect Resume Examples & Samples

  • Enterprise Data Strategy development
  • Governance and adoption of enterprise architecture data models
  • Development and maintenance of the conceptual, logical and physical data architecture
  • Data governance and data management strategy and to carry-out process and data analysis within agreed standards
  • Understanding of BI strategies, delivering through the full lifecycle
  • Experience with data modelling / management tools - ER Studio, Data Modeller
  • A pragmatic approach – call upon your experience to understand what works and what doesn’t, to strive to reduce complexity and improve supportability
  • Think outside the box – apply emerging technologies to reduce cost to serve and maximise speed to market
  • Leading teams of technical architects to deliver and govern the technical design
  • Distil complex technical problems and solutions to less technically versant decision makers
  • Working with 3rd party and offshore development teams
  • Delivering designs capable of meeting stringent non-functional requirements relating to performance, security and scalability
  • Oracle and Teradata database platforms and Big Data solutions
  • Data Quality, MDM and ETL processes
  • Data Security and Standards
  • Integration technologies, standards and patterns
  • Cloud platforms
  • Agile/iterative frameworks
  • A retail and/or financial services business
190

Data Architect Resume Examples & Samples

  • Data Architect with a minimum of 10 years’ experience
  • Experienced PMP and CSM is preferred, Six Sigma, or similar certifications is a plus
  • Previous experience in key management and thought leadership roles in the areas of advanced data techniques , including data modeling, data access, data integration, data visualization, text mining, data discovery, statistical methods, database design and implementation is required
  • Previous experience in designing data warehouse (DW) schema and defining ETL or ELT processes for DW
  • Wide-range of data expertise with RDBMS, SQL, MPP, OLTP, OLAP, NoSQL, Hadoop, M/R, Unstructured
  • Oracle and Microsoft SQL server experience specifically with SSIS and SSRS
  • Ability to develop database solutions by designing proposed systems and defining database physical structure and functional capabilities, security, back-up, and recovery specifications
  • Ability to establish standards and guidelines for the design and development, tuning, deployment and maintenance of information and advanced data analytics
  • Ability to lead the development of enterprise architecture governance structures based on business and IT strategies
  • Experience with structured business analysis using tools and techniques and demonstrated use and knowledge of Project Management methodologies and processes
  • Excellent communication (written and verbal), organizational and planning skills
  • Ability to work in a team environment and interface well with associates at all organizational levels
191

Data Architect Resume Examples & Samples

  • Develop Data/Information Architecture solution data components, high level baseline and targets
  • Document the data architecture as-is and ensure the to-be architecture meets the needs of all the functional business areas
  • Determine the effectiveness of data architecture design, create necessary implementation/migration plans, and recommend new solutions as required
  • Participate in the data governance framework including processes for governing the identification, collection, and use of data to assure accuracy and validity
  • Work with IT and the business to ensure consistency in data definitions and data usage across systems and tools
  • Act as the point of contact for definition of data requirements, structure and taxonomies
  • Support in-solution development by leveraging infrastructure architecture standards, practices, assets and frameworks
  • Manage and direct the activities of up to two direct reports
  • 5+ years of experience in data architecture design
  • Bachelor’s degree in Computer Science or related field required/ Advanced degree strongly preferred
192

Data Architect Resume Examples & Samples

  • Independently drive the scope and requirements with minimal guidance
  • Understand, prototype, analyze and validate requirements
  • Gain business knowledge, understand data flow, business process/ rules and data usage
  • Impart user education and recommend solutions
  • Undertake and perform activities that advances overall customer satisfaction
193

Data Architect Resume Examples & Samples

  • Develop, document, and maintain data standards
  • Develop and maintain subject area data models such as Customer, Traveler, Booking, Rates etc
  • Create key message schemas based on no-SQL data stores
  • Assist in requirements gathering and reviews for new initiatives
  • Analyze complex data structures and flows
  • Requirements data mapping and gap analysis for new capabilities
  • Prepare documentation and best practices
  • Provide guidance and expertise on Performance Tuning
  • BS Degree in Computer Science or related field
  • 10+ years industry experience out of which 5 years as a Data Architect for a large enterprise
  • 5+ years of experience with database technologies (e.g Oracle, MySQL, SQLServer)
  • 3+ years of industry experience with no-SQL databases such as MongoDB
  • Significant experience in Data Architecture & database Design
  • Expertise in data modelling in tools such as ERWIN
  • Expertise in developing JSON model definitions
  • Experience on data quality, integration, and governance
  • Expert knowledge of enterprise data warehousing concepts and best practices
  • Ability to think through multiple alternatives and select the best possible solutions for strategic and tactical business needs
  • Excellent written and oral communication skills, fluent in English
  • Experience in Agile team environments
  • Travel industry knowledge a plus
194

Data Architect Resume Examples & Samples

  • Determines appropriate data structures for various software development projects and manages metadata in the DMS
  • Coordinate with platform team to manage the implementation and rollout of data structures
  • Assists with database-level performance analysis and troubleshooting
  • Creates specifications for more complex, high level enhancements. Serves as subject matter expert for the enhancements for the Developers and Project Managers. Solves product, system and content issues
  • Provides training, technical support, and functional support
  • Ensure database design and metadata conforms to directed and de facto SPGMI standards. Helps ensure uniform implementation across platforms and applications
  • Remains current in software-development and database technology through self-study, programming books, online journals, newsgroups, trade magazines and offsite training
  • Solid understanding of Microsoft SQL or equivalent databases is required. Basic knowledge and understanding of SPGMI database and corporate structure, systems, products, and services preferred
  • Basic database design knowledge
  • High level understanding of programming
  • Basic understanding of financial concepts preferred. Knowledge of the development platforms used by SPGMI
  • Prior SPGMI experience, technical training or two or more years of experience in an analytical and database design capacity preferred
  • Understand and be able to implement database design best practices
  • Experience working in all phases of software development cycle and within a team environment
195

Data Architect Resume Examples & Samples

  • Candidates having more than 5+ years of experience will be considered for this role
  • The candidate must know to write and design SQL queries
  • They also need to write scripts in SQL
  • The candidate must have Investment domain knowledge
  • The client needs more of a designer than a BA
  • The requirement is for Data Warehousing project
  • The candidate should have deep understanding of data warehousing concepts
  • 5+ Years of experience is must
  • Good to have 4+ years in writing and designing queries
  • Investment domain knowledge is a must
196

Data Architect Resume Examples & Samples

  • Key role to support Data Strategy and Architecture programme for Fin Crime
  • Ensure adherence to the Bank’s Data Management Policies and Standards
  • Support the definition of technical standards and guidance for the technology development groups
  • Support of Regulatory and other Bank wide Data initiatives for Fin Crime
197

Data Architect Resume Examples & Samples

  • Determines appropriate data structures for various software development projects and manages metadata in the DBMS
  • Coordinate with platform team to manage the implementation and roll-out of data structures
  • Ensure database design and metadata conforms to directed and defacto S&P Global standards
  • Helps ensure uniform implementation across platforms and applications
198

Data Architect Resume Examples & Samples

  • Identify and document data assets within the firm
  • Determine the provenance of data feeding into key processes and ensure that adequate controls are in place
  • Ensure best practise for data governance and stewardship is followed across the group
  • Drive operational change that will improve data quality and security
  • Staying abreast of relevant industry trends and legislative changes
  • Oversight of BI and data warehousing projects
199

Data Architect Resume Examples & Samples

  • Lead his/her team to produce a clear definition of architecture requirements for assigned projects and areas of responsibility
  • Retain working knowledge of the technology environment in use at BBVA Compass as well as working relationships with the functional area experts
  • Ensure his/her team establishes functional and technical designs in compliance with IT enterprise standards
  • Work with project teams to determine technology architecture. For some projects, serve the technical lead function
  • Coordinate as necessary with the BBVA Architecture organizations
200

Data Architect Resume Examples & Samples

  • Work with the Senior Database Architect to define database architectures and communicate those designs to business and engineering partners
  • Analyze existing data design and suggest improvements that promote performance, stability and interoperability
  • Work with product management and business subject matter experts to translate business requirements into good database design
  • Provide database architecture leadership and mentor projects consisting of TW employees and outside contractors
  • Maintain the governance model on the database architecture through training, design reviews, code reviews, and progress reviews
  • Participate in the development of Database Architecture and Roadmaps in support of business strategies
  • Establish and maintain database architecture standards and best practices
201

Data Architect Resume Examples & Samples

  • Connect the data to the business processes
  • Provide guidance to data analysts and data scientists
  • 6+ year of experience designing and developing data solutions for reporting, transformation or strategic initiatives
  • Ability to obtain and maintain a secret required Public Trust Clearance for this role
202

Data Architect Resume Examples & Samples

  • 10+ years of experience of implementing large data migration programmes for global banks
  • Architect overall technical solution using the available technologies
  • Drive technical requirement gathering workshops to identify data migration requirements for each release
  • Lead overall technical migration solution with partner consultants and NTT Data team
  • Develop Architecture standards/guidelines/policies based on the bank’s needs, regulatory requirements and anticipated technology advances to guide project teams
  • As a Tech Architect, within the Banking Consulting Group, the person will be responsible to engage with clients across the stages of the Project Lifecycle – Requirements gathering, Mapping processes, Solution architecture & Design through to development, UAT and deployment. Consults with business on low to moderately complex business needs
  • Banking domain experience is must with Good knowledge of technology and business trends in financial industry
  • Good communication skills with ability to lead domain discussions with BFSI customers
  • Bachelor’s or Master’s degree in Computer Sc. or Computer Eng. or above in related IT discipline
  • Strong System Architecture and/or system integration hands-on-knowledge
  • Quickly consume and analyze business and technical requirements as input for crafting high quality and well-conceived solutions
  • Provide input to the development of project initiation documents including objectives, scope, approach, and deliverables
  • Provide leadership / guidance to the development teams during the analysis, development and testing processes, getting hands-on in the development as necessary
  • Experience in ETL tools including Informatica Powercentre
  • Prior experience working on Validata Tool will be preferred
  • Establish, Maintain and Adhere to Enterprise Data Modeling and Data Integration Standards
  • Work closely with users to understand and help develop functional specifications
  • Formulate Technology strategy, Architecture guiding principles and Technology roadmap from the business strategy and key processes and documents how the current and future bank’s needs will be met in an efficient and effective manner
203

Data Architect Resume Examples & Samples

  • Designs and delivers flexible and performant databases which align with business and firm goals
  • Develops enterprise wide guidelines and standards for database design
  • Collaborates with Data Engineers and DBA’s as part of Database Design and Development
  • Engages Solution Architects to develop ETL/Data Integration/Data Processing Flows
  • Supports minor database change requests as needed
  • Develops and maintains enterprise data models for enterprise class data initiatives
  • Supports ETL teams in development effort if needed
  • Works with development teams to understand and make recommendations on proposed database structures and data flows
  • Minimum of a Bachelor’s Degree in MIS, Computer Science or related degree and seven (7) years of relevant experience or an equivalent combination of education, training and experience
  • Expert Level working knowledge of Database Design and various Data Modeling Principles
  • Extensive Experience with Oracle & SQL Server as a Database Platform
204

Data Architect Resume Examples & Samples

  • Develop/Enhance the logical model to support the requirements from strategic initiatives
  • Enhance the conceptual model, working with Business Analysts, to include the client data attributes referenced in the strategic initiatives
  • Maintain the logical model to support the business as usual data attribute changes
  • Develop and maintain lineage among Conceptual Data Model, Logical Data Model, and Physical Data Model
  • Serve as a subject matter expert for client data attributes
  • Participate in data change governance and validate the accuracy and completeness of proposed data attribute changes to Client Reference data model
  • Propose appropriate modeling and data management solutions to meet the overall vision of the strategic platform
  • Make necessary on-going updates to modeling principles, processes, solutions and best practices to ensure that the CRD data management is aligned with other evolving parts of the platform
  • Manage multiple projects, working in a matrix organization, related to data modeling and data management requirements
205

Data Architect Resume Examples & Samples

  • Create end-to-end vision of data flow, design data flow diagram and create centralize data repository
  • Maintain data repository and function as a Data stewards
  • Develop logical design and physical database design with consideration of data acquisition, backup, archive, recovery, data validation, mapping and cleanup
  • Define data structure, integrate, govern, store, describe, model, and maintain for accuracy and usage maintaining current state
  • Determines database structural requirements by analyzing requirement, current applications, programming; and evaluating current systems
  • Map to information entities that can define how information should flow and be consumed by various business and IT customers
  • Building the logical and physical model using Power designer with strong experience in OLAP and OLTP Modeling techniques who can analyze the source data for the modeling requirements
  • Support operational use of data for business process and other domain centric functions
  • Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
  • Document data inventory and data flow diagrams to determine what can be measured, when and how
  • Manage activities in achieving defined quality goals in an efficient, accurate and timely manner
  • Work directly with business users and functional analysts and in comprehending business requirements and modeling
  • Collaborate and coordinate with other team members
  • Strong technical knowledge of Data warehouse, Data mining, Star Schema’s, Data modelling and Data Governance, hands on experience with Business Intelligence techniques including but not limited to Analytics
  • Experience in the SAP Power Designer
  • Experience in Dimensional modeling and Third Normal form
  • Experience in Metadata Management and Creating Data dictionary
  • Big Data experience is a must
  • Extensive programming experience in SQL, PL/SQL is required
  • Performance Tuning & Optimization experience is required
  • Experience in working for a Medical equipment/Pharmaceutical company is required
  • Nice to have experience in Master Data Management
  • Nice to have on Columnar Data modeling techniques
  • Experience on data visualization techniques is required
  • Bachelor's degree, in Information Technology, or other quantitative field
  • 5+ years of BI analytics experience in a global or similarly structured organization
  • Proven success (5+ years) managing BI design and development is essential
  • Understanding and experience with big data technologies and platforms is highly desired
  • Must be able to define, shape, and drive solutions to completion while effectively collaborating with others
  • Experience working on all SDLC business processes: requirements, design, development, testing and deployment using Agile methodology
  • Experience working with the third-party external business partners and their technical teams in the support & implementation of BI and analytics solutions
  • Functional experience across a range of commercial business processes with an emphasis on profitability & revenue management, sales force effectiveness and market data integration is a plus
  • Excellent troubleshooting and problem resolution skills required
  • Experience in Medical Device or other regulated industries is an asset
  • Excellent command of English, verbally as well as written
  • Knowledge of other languages is an asset
  • Solid knowledge of data warehousing, data mining, power designer ,toad , IBM Cognos
  • Solid knowledge of BI application development process including Datastage
  • Solid Knowledge of Oracle Data Warehousing and Oracle Client Tools
  • Advanced knowledge of MS Office suite and MS Project is required
  • Basic knowledge of SharePoint is a plus
206

Data Architect Resume Examples & Samples

  • Gather requirements and perform analysis of data integration, reporting and analytical capabilities required from the business and general user community
  • Create project documentation, including project plans/schedules, requirements documents, architecture drawings, system design documents, architecture and data models, test plans, user manuals, deployment plans and operations manuals
  • Drafting and managing of data and information architectures, guidelines, standards and best practices
  • Own and manage the conceptual and logical data models – at EDW and Organisational (where applicable) level
  • Adopt innovative architectural approaches to leverage and develop in-house data integration capabilities consistent with architectural goals of the enterprise
  • Expert knowledge of Data Modelling and Data Warehousing Concepts and Architecture
  • Design and development of the data warehouse star scheme, fact tables, dimension tables, lookup tables, procedures and packages
  • Design and development of data integration routines to extract relevant data from multiple operational data sources; perform transformation, lineage, profiling, cleansing and mapping of extracted data; and loading data into the EDW
  • Participate in design and development of business intelligence components, including reporting capabilities, interactive dashboards, scorecards, analytics, data mining and data visualization
  • Extract, Transformation and Load (ETL), spreadsheets and BI tools
  • Data Migration Tools Knowledge
  • Manage data quality throughout the ETL process and beyond
  • Manage ETL environment
  • Graduate degree or equivalent experience
  • Minimum 10 years in the IT profession
  • Minimum 8 years of experience with architecting solutions for data warehouse, data integration and data standardization
  • Experience with data quality / data profiling tools and methodologies
  • Experience building data warehouses and transformation processes
  • Experience with conceptual, logical, relational and dimensional data modelling
  • Experience with various data intake, staging and integration methods
  • Experience with MDM will be beneficial
  • Experience with SQL languages (PL-SQL, T-SQL)
  • Data quality processes and methods
  • Collaboration and team-building skills
207

Data Architect Resume Examples & Samples

  • Manage the overall data establishment effort and deliverables across a number of parallel project strands
  • Primary data contact and escalation point
  • Define the data strategy, required processes and tools
  • Agree and develop data approach documents with Technical / Business leads and the Project Manager including, but not limited to, high level data approach, environment, data and resource requirements and automation approach
  • Estimate and plan all data activities required to deliver quality product to required timescales
  • Adopt a hands-on approach to design build and execution
  • Work closely with test, business analysts and technical leads to ensure common purpose of delivery on process and plan
  • Manage the sign off of entry and exit criteria as per standard agreed criteria
  • Adjudicate and prioritise on varying / conflicting requirements with the Business
  • Manage project risks / issues and escalate to Project Manager and IT Delivery Manager as required
  • Requirements Analysis
  • Experience in Extract, Transform, Load (ETL) processes and tools
  • Defining the high level integrated data model for the project
  • Defining the detailed integrated data model for the project
  • Define the data model diagram for the project
  • Create an inventory of the data for the project
  • Define the migration approach
208

Data Architect Resume Examples & Samples

  • Prior data architecture experience
  • Experience with regulatory data architecture security issues like GDPR, SOX, PCI
  • Work experience with proven techniques for encryption of sensitive information
  • Good knowledge of data architecture principles (e.g. Data Modelling, Data Security, Metadata, Data Retention)
  • In-depth knowledge of database technology and business intelligence tools
  • Demonstrated sound analytical thinking and very effective problem solving skills
  • Excellent communication, documentation and collaboration skills
  • Ability to analyze and elicit information from multiple sources
  • Thorough knowledge of information lifecycle management
  • In-depth software development lifecycle experience
209

Data Architect Resume Examples & Samples

  • Minimum of 8-12 years of experience in software development
  • Worked with TeraData, Oracle, MySQL, Informatica, Tableu, QlikView or similar reporting and BI packages
  • Used SQL, PL/SQL and similar languages, UNIX shell scripting
  • Knowledge of agile software development process
  • 3+ years software/technology client facing experience preferred
  • Experience with “on-premise to cloud” migrations or IT transformations preferred
210

Data Architect Resume Examples & Samples

  • Strong experience with design and development of a business semantic layer for end user ad-hoc reporting
  • Collaborate with the Capacity Management team to manage a storage capacity planning model with regards to the EDW to ensure that adequate resources are procured in advance of growth needs
  • Creates and executes the delivery of internal reports and analytics, ensuring that data quality and integrity is maintained on all data within the EDW
  • Drives the deployment and adoption of Business Intelligence software products, creating operational and executive level dashboards and promotes a self-service power user BI model
  • Manages business continuity plan for EDW environment, providing recommendations on hardware, software, archival, back-up, and restoration processes
  • Minimum ten years experience in a dynamic business and IT environment
  • Minimum five years’ experience in a data architect or data warehouse stewardship role
211

Data Architect Resume Examples & Samples

  • Participate in the design, architecture and evolution of the project’s platform, including Data Warehousing, Business Intelligence, and ETL solutions and systems
  • Deliver optimum Data performance and scalability in partnership with Production and internal services such as IT (GNS), TG, etc
  • Drive Data usage strategies, principles, standards and best practices via development and communication
  • Develop and maintain live data warehouses through conceptual, logical and physical Data models
  • Review, recommend and approve Data designs
  • Support the Developers and Software Architects to provide the best solutions to meet current project needs that are aligned with strategic direction
  • Provide technical mentoring of the Infrastructure team
  • Carry out all other related tasks
  • Minimum 10 year experience in the industry with a minimum of 4 years in this role
  • Excellent knowledge and experience of Teradata database
  • Excellent knowledge of enterprise data modeling in Teradata
  • Excellent knowledge of best practices in decisional application conception
  • Knowledge and experience in the management of the data quality
  • Knowledge of Big Data technologies
  • Knowledge and experience with programming vocabulary (PHP, Perl, Python, Ruby, Java, etc.)
  • Knowledge of ETL and restitution tools in order to cover the chain of decisional tools is a plus
  • Collaboration & communication skills
  • Quality oriented
  • Spoken and written English knowledge
212

Data Architect Resume Examples & Samples

  • Develop, maintain, and ensure delivery of high quality demo data that showcases ServiceNow products and solutions
  • Enable consistency in how cross-product demos are delivered through different channels
  • Build reusable components (update sets, applications, etc.) that can be leveraged by others in the ServiceNow ecosystem
  • Collaborate with cross-functional stakeholders to identify data requirements and understand how they will extend the data sets and components you build to best serve their customer needs
  • Understand business and technical problems addressed by the products and how demo data can best illustrate these concepts
  • Acquire and expand working knowledge of all ServiceNow applications
  • Proficiency with the ServiceNow product suite
  • Proven experience improving, developing, and delivering quality integrated demo data for Enterprise software and/or SAAS companies
  • Pre-sales experience and ITSM experience highly desirable
  • Experience working cross-functionally
  • Experience as a technical lead in previous roles
  • Exceptional organizational skills and a high level of attention to detail
  • Has previous experience in data management or databases
  • Broad working knowledge and understanding of Service Management Processes across the various business functions (IT, HR, ITFM, Facilities, PPS, etc.) as well as of the ServiceNow solutions that support these business functions
  • Experience in advanced ServiceNow development activities including Scripted REST, Service Portal, Jelly, Processors, UI Pages, UI Macros, etc
  • Background in ITIL, Service Management, Asset Management, IT Management, or IT Operations
213

Data Architect Resume Examples & Samples

  • Design, build, maintain and scale the data pipeline and infrastructure of a world-class SaaS platform
  • Partner with the Data Science team and business teams to adopt best technical practices for business and research requirements
  • Interface with Global Engineering, Operations and Product teams to incorporate their innovations and vice versa
  • Ensures programs are envisioned, designed, developed, and implemented across the enterprise to meet business needs. Interfaces with the enterprise architecture team and other functional areas to ensure that most efficient solution is designed to meet business needs
  • Mentors team members in relevant technologies and implementation architecture
  • Contributes to the overall system implementation strategy for the enterprise and participates in appropriate forums, meetings,
214

Data Architect Resume Examples & Samples

  • Serve as a point of contact for investment data provisioning and reporting. This includes the triage of issues and new requests from the end user population
  • Work with data consumers to develop and document new data requirements
  • Oversee the data mart and Cognos framework design to ensure efficiency, best practices, and consistency of approach
  • Support the development and maintenance of data marts, Cognos framework, extract queries, and reporting utilizing MIDOT suite of tools including Eagle, Cognos, Tableau, and SQL Developer
  • Work with the Reporting Manager to determine optimal workflow for mart/report development including developing locally and outsourcing
  • Serve as a key point of contact for outsourced development resources
  • Work with data consumers, MassMutual Technology Architects, and strategic partners to determine and execute optimal data distribution strategies including selecting from available report, query and data mart solutions and participating in selection of additional tools as needed
  • Partner with Reporting Analyst to ensure best practices are followed and governed in the distributed report development model
  • 5-plus years of reporting/data distribution experience
  • Understanding of the investment data domain and the related reporting requirements
  • Experience with a range of data mart and reporting solutions
  • Expert in SQL (writing queries, complex scripts, extracting data etc)
  • Expert in Excel (pivot Tables, data comparison, data manipulation etc)
  • Ability to handle ambiguity and constantly evolving requirements
  • Comfortable taking initiative and working independently but knows when to involve others
  • Comfortable working with stakeholders from a wide range of functions and seniority levels
  • Strong collaboration skills and the ability to work in a team based environment
  • Familiarity with release management processes and experience managing the migration of development components
  • Bachelor’s degree in a Computer or Finance related major
  • Experience with Eagle Investment Systems reporting tools is a major plus
  • Data Marts
  • Eagle canned reports
  • Experience with Cognos is a plus
  • Experience with large scale data management/business intelligence projects including data warehousing solutions
  • Understanding of the Investment Management process and the related data flows
215

Data Architect Resume Examples & Samples

  • Architect scalable data processing and analytics solutions, including technical feasibility and proposal development for Big Data storage, processing and consumption (e.g., development of enterprise Data Lake strategy, heterogeneous data management, decision support/BI over Data Lake)
  • Determines database structural requirements by analyzing business units’ operations, applications, requirements and objectives while evaluating current systems and proposing upgrades, enhancements and/or new systems
  • Develops strategies for data acquisition/collection, data quality, archive and recovery, and implementation of a database
  • Document and share technical best practices / insights with data engineering teams, data scientists, analytics business analysts, and the global solution architect community
  • Creates data quality plans and metrics for multiple data sets and business units to ensure a high level of data quality through the data’s lifecycle
  • Design and build ETL/ELT process to move data through the data processing pipeline for internal and external data sets
  • Ensure that security and quality policies and guidelines are applied
  • Documents processes with business process maps, data flow diagrams, ERDs, schema diagrams, systems diagrams, and other architecture collateral
  • Designs and builds relational databases (MySQL, MS SQL Server, Oracle) non-relational databases (MongoDB), data lake (Cloudera, Hortonworks, or another Hadoop distribution)
  • Work closely with Customer Analytics team and lines of business to ensure that a scalable data model is implemented in the right physical structure (SQL vs. No-SQL vs. data lake)
216

Data Architect Resume Examples & Samples

  • 03.02
  • Be responsible for procuring the CRS
  • Contribute to the end-to-end solution design and architecture
  • Develop and capture data requirements for the central registration service, including the many interfaces to the solution
  • Maintain the data architecture principles and define the data architecture, including justifying how the data architecture supports the other architectural domains (process, application etc.)
  • Establish governance and manage the compliance/divergence of each of the business areas from the prescribed data architecture, agreeing remediation plans to achieve alignment
  • Develop architectural designs that will establish systems of record and systems of reference and maintain master and reference data accordingly
  • Initiate well-founded architectural approaches to address profound data problems at an enterprise level as they arise and are recognised
  • Input into the production and assurance of technical specifications
  • Provide data architecture expertise into design prototyping projects and maximise the value of prototyping by taking forward the learnings and outputs into the solution and end-to-end design
  • Participate in market engagement and procurement of the new central registration service as required
  • Lead the adoption of data modelling standards, guidelines, best practices and effective modelling techniques and approaches
  • Plan, document and present enterprise data architecture-related strategies such as controlled vocabularies, structured data management and business object document definition
  • Oversee data modelling activities that take place in project teams, resulting in the production of high quality conceptual, logical and physical data models and case tool meta models
  • Undertake further data architecture and design activities as required by the Switching Programme
  • Knowledge of Smart Metering Implementation Programme and DCC’s role
217

Data Architect Resume Examples & Samples

  • Provide data architecture guidance to ensure adherence to legal and compliance rules
  • Establish business data definitions that are considered 'Global' or 'Local' that are critical to the operation of End to End Business Processes
  • Ensure the quality and coherence of the Enterprise architecture model (current and future state) as it applies to the data layer
  • Provide rules for the appropriate storage of data, establishing rules for archiving, backup and recovery with partner access to data
  • Accountable for the use and adoption of the enterprise architecture data model
  • Provide rules for extraction, transformation and loading of data between systems
  • Provide rules for mastering of data across all key data sets as defined in the enterprise architecture data model
  • Provide definition for the data architecture and interface standards for integrating data repositories and systems
  • Lead on supporting disruptive data technologies that would enable transformational changes
  • Deep technical knowledge and practitioner of data architecture layer of Enterprise Architecture
  • Practitioner and experience of 'data architecture' technology (including but not limited to database technologies, data integration and data migration)
  • Technical knowledge and practitioner of Enterprise Architecture rules, tools and methods (including TOGAF or similar)
  • Must have a thorough knowledge of relevant data domain technologies and the interaction with other layers of the Enterprise Architecture (e.g. Application software)
  • An experienced operator able to manage a mix of technical, end to end business processes and data technologies
  • Capability and relevant experience of disruptive and emerging data technologies such as HADOOP and data analytics or similar
  • Knowledge and understanding of industry trends and new technologies and ability to apply trends to architectural needs
  • Demonstrated experience of operating with external partners and providers
  • Demonstrated experience of data and information standards bodies and leading supplier technology development
  • Experience of operating governance and procedural standards for management and operation of data standards would be advantageous
  • Relevant academic qualifications (Bachelor's degree or certified in technologies)
218

Data Architect Resume Examples & Samples

  • Specification and design of data systems
  • Definition and evolution of Data storage structures
  • Management, Indexing and mining of massive, real time data streams
  • Research and development of key concepts and technologies
  • Identification of new technical directions
  • Comfortable in an informal environment where teamwork, accessibility and pragmatism are emphasized
  • A thorough understanding of the principles of micro-services and containerization in distributed systems
  • A good understanding of the software development process and agile working
  • Competence in architecting complex real time distributed data systems
  • Good understanding of the latest concepts in database design
  • Experience in designing elastic systems responsive to demand
  • Subject matter expert in data management, mining and indexing for both structured and unstructured data, specifically working with large data-sets and real time data streams
  • A good understanding of redundancy techniques, fault detection and rectification without impact to service
  • The desire to create unique experiences and redefine broadcasting for a new generation
  • A self starter with excellent communication skills
219

Data Architect Resume Examples & Samples

  • 5+ years Software Technology Client-Facing experience
  • Experience with Big Data migrations or IT transformation - (e.g. Datalake, different platform warehouses, etc.)
  • Make assessments of the client data architecture, understanding their platforms and Data Warehouse
  • Create a datalake on-premise in the client data center to centralize all the information from different platforms and Data Warehouse
  • Recommend the future data architecture
  • Assess and recommend a data governance - from data ingestion to data mart
220

Data Architect Resume Examples & Samples

  • Work together with our analyst colleagues in CDO and abroad to define and implement data related components for Chief Data Office
  • 5+ years of experience in designing and working with large scale data models. Experience of data modelling tools such as Power Designer, Liffey or ErWIn is required
  • ETL experience (tools like Informatica, OBIEE)
221

Data Architect Resume Examples & Samples

  • Analyze agency operations, applications, programming, and objectives to determines database structural requirements
  • Analyze database implementation methods to make sure they are in line with company policies and any external regulations
  • Define database physical structure and functional capabilities, security, back-up, and recovery specifications
  • Design strategies for enterprise database systems and set standards for operations, programming, and security
  • Design databases to support business applications, ensuring system scalability, security, performance and reliability
  • Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure
  • Develop database design and architecture documentation for the management and executive teams
  • Design and develop a REST API
  • Collaborate with technical architects, product strategist, and, design analysts, and others to understand business requirements
  • Integrate new systems with existing warehouse structure and refine system performance and functionality
  • Plan and install upgrades of database management system software to enhance database performance
  • Identify and correct deviations from database development standards
  • Identify and resolve production and application development problems
  • Create and enforce database development standards
  • Develop or maintain archived procedures, procedural codes, or queries for applications
  • Develop load-balancing processes to eliminate down time for backup processes
  • Develop data models for applications, metadata tables, views or related database structures
  • Develop modeling strategies to ensure that the database is secure, scalable and performs reliably
  • Identify, evaluate and recommend hardware or software technologies to achieve desired database performance
  • Monitor and report systems resource consumption trends to assure production systems meet availability requirements and hardware enhancements are scheduled appropriately
  • Responsible for constantly monitoring the database and immediately addressing database issues and problems
  • Other duties in regards to data that may be assigned
  • Must have a minimum of five years (60 months) of experience in data analysis or the design and development of relational database management systems (RDBMS) such as Oracle, DB2, SQL, etc. on projects similar in size and scope
  • Must have a minimum of four years (48 months) of experience in overseeing the database development, programming, database optimization techniques, and maintenance of enterprise level software applications
  • Must have proven ability to work in distributed systems
  • Must have a minimum of two years (24 months) of experience in developing and implementing an enterprise data warehouse
  • Must have a minimum of two years (24 months) experience with OLAP and OLTP
  • Must have experience developing and implementing a RESTful API for a relational database
  • Must be able to gather and assimilate information
  • Must be able to think logically and strategically, and evaluate options in the short, medium and long term
  • Must be able to be adapt and prioritize
  • Must be able to think ahead and anticipate problems, issues and solutions
  • Bachelors degree from an accredited college/university in computer science, engineering or a technology-related field
222

Data Architect Resume Examples & Samples

  • The Data Architect is responsible for developing and maintaining a formal description of the data and data structures. This includes metadata management, master data management, business semantics, data modeling, data flow diagrams, data dictionaries, etc. This metadata repository will need to be exposed in various formats i.e. XML or Avro schemas to be leveraged by various internal systems and teams
  • Support Data Engineering Lead with indirect leadership to multiple analytics team members
  • Understand the business process; facilitate the discovery of entities, attributes, relationships, and business rules from the functional experts and the user community
  • Prepare process models to document data and information flows for sourcing and accessing data throughout the enterprise
  • Developing and enforcing data modeling standards and best practices
  • Assists other IT functional teams to troubleshoot critical business systems
  • Ensure that data for top tier applications maintain a state of high availability
  • Act as a core team member of the Ascend Learning Architecture Council and work closely with CISO on company security policies and governance of data across the company
  • Mentor junior members of the data and analytics teams
  • Work with the engineers, quality engineering, DBAs, information security, network, operations, product and project management teams to design and implement new business initiatives as related to data and analytics
  • 5+ years of experience in strong data architecture, design, and implementation with a variety of technologies, 3+ years in a dedicated Data Architect role preferred
  • In addition to the logical responsibilities, a firm understanding of the underlying physical technologies is required. This includes technologies such as Oracle, SQL Server, MySQL, Postgres, Hadoop, Cassandra, MongoDB, Elastic Search, JSON, XML, Avro, Blob/S3, Cloud Data Warehouse e.g. Azure DW, Redshift, Snowflake, etc
  • Databases: Advanced SQL knowledge required, advanced data warehousing, MPP knowledge, high knowledge of T-SQL development and Dynamic SQL preferred
  • Linux/Unix and system administration: Understanding of shell, debugging things etc. The candidate should be able to get their way around Linux and get things to work
  • Familiarity with code execution and deployments to development, staging and production environments dictated by through a change management process
  • Big picture / High-level architecture: The candidate must be able to think at a high level about the overall systems and goals of the projects
  • Familiar with ETL. Practical experience dealing with large ETL pipelines is a plus
  • Agile development and scrum team experience
  • Data Architecture related certifications preferred
  • Experience in SSRS, BIDS, SSIS, and SSAS, Failover clustering, replication, and other high availability technologies preferred
  • Experience in Performance Tuning, Query Optimization, using Performance Monitor, SQL Profiler and other related monitoring and troubleshooting tools preferred
  • Experience in troubleshooting and resolving database integrity, performance issues, blocking and deadlocking, replication, connectivity, security issues, etc. preferred
  • Distributed systems understanding preferred
  • Public cloud experience e.g. AWS, Azure, Google Cloud preferred
  • Works independently with minimal direction
  • Builds trust and works collaboratively with all levels of the Tech and Ops organization, including staff, business stakeholders, executives and works effectively on geographically diverse teams
  • Excellent verbal and written communication skills with all levels of users and with management, public speaking experiences a plus as we encourage people to participate in conferences
  • Strong influencing, negotiation, and conflict resolution skills
  • Occasional weekends/nights for on-call incident troubleshooting or administration of regular, off-hour deployments
  • Writing skills: the candidates need to write good documentation and are also encouraged to write blogs etc. to build their reputation in the industry
223

Data Architect Resume Examples & Samples

  • 5+ years of experience with modern services–based architecture, including Data Warehousing, Service–Oriented Architecture for Simple Object Access Protocol (SOAP) and Representational State Transfer (REST)
  • 5+ years of experience with defining, deploying, and supporting Enterprise Service Bus (ESB) based upon Oracle SOA products for Oracle Middleware SOA Suite or Oracle BPEL Manager, or other leading ESB Providers
  • Experience with developing and implement a robust data quality program to mitigate and prevent data quality issues and diagnosing, remediating, and monitoring master data by enhancing existing foundations and processes
  • Current Secret clearance required
  • BA or BS degree in CS, Information Systems, or Data Management or 8+ years of experience with computer science, information systems, or data management in lieu of a Bachelor’s degree
  • CompTIA Security + or CISSP Certification required
  • Experience with Big Data analytics in a large–scale enterprise environment for multiple interfaces
  • Experience with data governance and metadata maintenance
  • Experience with authoring, reviewing, or contributing to other Defense Acquisition milestone documentation, as needed
  • Experience with supporting any of the other related Oracle products, including Oracle RDBMS or Oracle WebLogic
  • Experience with developing Key Performance Indicators and metrics to measure data quality targets and data quality program metrics, improvements, remediation plans, and concerns
  • Experience with implementing a suite of standardized governance tools, including policies, procedures, business requirements documents, data lineage formats, data definitions dictionary, and data formats for use by all key stakeholders
  • Experience with a cross domain solution a plus
224

Data Architect Resume Examples & Samples

  • 8+ years relevant Job experience in Database Development and/or Software Engineering
  • Very good knowledge in data modeling (logical: ER modeling and UML; physical: translating the logical model into DBMS schema) and system overarching data architecture
  • Proven experience in relational DBMS (preferably Oracle), SQL and ETL/ELT Technology (processes and data replication) in design, implementation and operations
  • Experience in relevant Business Intelligence tools and technologies (MDX, MOLAP/ROLAP, Query Optimization, Analytics)
  • Nice to have but not a must: Knowledge in Sparx Enterprise Architect
  • Experience in large and complex IT projects
  • Excellent English skills both verbally and written. Nice to have: German language skills
225

Data Architect Resume Examples & Samples

  • Understands organization's vision, goals and strategies. Aligns teams priorities appropriately and determines teams critical success factors
  • Manages change and encourages innovation. Open to new ideas
  • Resolves issues in an appropriate and timely manner
  • May negotiate, secures, oversee & ensure that resources are available to meet the daily operational demands of the area
  • Responsible for all aspects of people leadership; setting expectations, coaching, counseling, developing, evaluating, feedback, hiring, discipline and separations. Determine necessary mix of skill set
  • Confronts and deals with employees issues in a constructive and timely manner
  • Responsible for collecting and managing Patient level data requirements with CA&O – MABI and HEOR organizations related to Real World Evidence and Patient experience initiatives. The role will be a functional expert in de-identified and identified patient level datasets such as CRM (Epsilon), Services (myHumira, Opus), Claims (SHA, IMS), Clinical (Humedica) and Pharmacy datasets (Specialty Pharmacy, Pharmacy solutions) and other Real world data sets including syndicated EHR data
  • Architects Humira Ecosystem data integration strategy, responsible for coordinating Patient Services data strategy and execution for upcoming immunology and Oncology Launches
  • Coordinates execution of BTS data projects with US commercial BTS DW&BI organization
  • Determines the data requirements by working with Specialty Pharmacies, MA&BI, HEOR and Managed Care team
  • Works with Legal and Purchasing organizations to finalize the data contracts with Data suppliers, Specialty Pharmacies, Analytic partners and Research study partners
  • Acts as a liaison between Data Integration vendor(s) and Specialty pharmacy network on the data onboarding and data integration work streams
  • Lead technical staff, perform architecture and design reviews
  • Experience with data analysis, data profiling and data quality techniques
  • Exceptional interpersonal and communication and analytical skills
  • Experience or familiarity with Commercial DWH initiatives, processes, systems and data is preferred
  • Experience with Patient level data like SHA PTD, IMS APLD or Truven Mediscan is preferred
  • Working knowledge of big data tools and solutions such as Cloudera, Hadoop, R is preferred
  • Familiarity with Marketing Analytics and Business Intelligence (MABI) and Health Economics Outcomes Research (HEOR) organizations and their data needs is preferred
  • Familiarity with Real World evidence data , processes and systems is preferred
  • Priori experience in working with Specialty Pharmacy Data, Trade & Distribution data, Immunology data and Oncology data is preferred
226

Data Architect Resume Examples & Samples

  • 10-12 years of experience in data architecture, analysis and applications program development required
  • Extensive experience in Data modelling, analysis, and schema design for large software systems
  • Advanced knowledge in RDBMS (preferably Oracle)
  • Hands on experience in database installation, programming, and performance tuning
  • Advanced SQL/PL-SQL programming skills
  • Knowledge of Mongo DB is a plus
  • Demonstrated ability and willingness to work both independently and as a member of a scrum team
227

Data Architect Resume Examples & Samples

  • Experience with Database Administration
  • Experience with an RDBMS, preferably MSSQL
  • Knowledge with HA and DR database solutions
  • Experience with MSSQL, PostgreSQL, Elasticsearch and MongoDB
  • Experience managing data stores in AWS
  • Experience migrating data stores between data centers
  • Knowledge of cross-datacenter replication strategies
228

Data Architect Resume Examples & Samples

  • Create and document design standards for relational and multidimensional database models and train development teams on these new standards
  • Collaborate with development teams to analyze and optimize existing queries
  • Architect Data Warehouse strategies including ETL principals and multidimensional database designs to enable effective reporting and dashboarding
  • Work with program teams and customers to define dashboarding and analytics requirements
  • Assist with integrating dashboards and reports into existing web applications
  • Configure and optimize the BI environment - relational, OLAP layers, and data migration extract transform and load processes
  • Troubleshoot BI problems and tune for performance. Diagnose and resolve application bottlenecks and performance issues. Define and enforce coding standards, design styles and best practices
  • Provide ongoing 2nd level support for related applications and technologies
  • Demonstrate technical leadership in all aspects including development, architecture, testing and deployment
  • Collaborate with Senior Technical subject matter experts in the technical assessment of new designs and development work
  • Gather, analyze, and translate business needs into proposed long term solutions
  • Ability to adapt quickly to fast-paced changing environment and priorities
  • Motivation to take ownership of tasks and the determination to drive them to completion
  • Should have completed a 4-year degree program in Computer Science, Management Information Systems, or a related technical field
  • 8+ years of experience architecting, developing and supporting the implementation of complex data solutions
  • Expertise with at least one ETL tool (preferably Pentaho) and BI tool (preferably Tableau)
  • Expertise with the design of BI staging areas, warehouse, cubes and reporting
  • Strong knowledge of relational and multi-dimensional database architectures
  • Able to perform Data Warehouse tuning, collecting statistics, and analyzing SQL code performance
  • Ability to write stored procedures and perform optimization
  • Strong analytical skills and an ability to present and communicate data, trends, insights and recommendations
  • Must be able to work independently and in a cross-functional team environment
  • Excellent oral and written communication skills. Ability to understand others and clearly express thoughts
229

Data Architect Resume Examples & Samples

  • Development of Corporate Data Model Framework
  • Development of data risk framework focused on standards, definitions, quality and access
  • Development of Corporate Data Model with documentation of
  • Subject areas, major entities
  • Relationships between entities
  • Attributes of the entities
  • Subtypes of the entities
  • Business process analysis related to subject areas
  • Support Business Analyst (BA) on identification of prioritized data elements and capture related metadata (e.g. sponsors, owners, stakeholders, security classification, business definition, technical definition)
  • Assess the existing level of governance, identify gaps and define additional governance rules
  • Work in co-ordination with the stakeholders (mentioned under section “Stakeholders and Participants “)
  • Work under the direction of the Data Architecture and Governance Lead
  • Conduct interviews with Analysts, Modelers, Architects, Integration Specialists, and System Teams to continue the research/analysis on metadata
  • Recommend/design a spreadsheet/database to store captured metadata, in preparation for migration to defined standard metadata toolset
  • In addition, the consultant will be expected to
  • Anticipate, identify, and define problems; seek root causes and apply agreed-upon principles to resolve them
  • Establish strong commitment to transparency and communication; effectively capturing meeting minutes and managing action items
  • Develop effective working relationship with various project teams to initiate identification of related subject areas, and identify prioritized data elements
  • At least four (4) years of experience in data modeling and/or data analysis
  • Ability to describe data mapping and data migration techniques
  • Demonstrated hands-on experience developing Entity Relationship Models and Data Flow Diagrams
  • Ability to export lists of data elements from Erwin Models
  • Ability to extract lists of included data elements from Informatica PowerCenter ETL feeds and databases leveraging PL/SQL
  • Demonstrated hands-on experience in analyzing large databases
  • Competent in office technology tools with advanced Excel and Access skills
  • Business Judgment and Analytical Decision Making - Analyzes facts and data to support sound, logical decisions regarding own and other
  • Compliance with Standards - Monitors and maintains records on requests for information and assistance
  • Information Seeking and Bias for Action - Gathers and analyzes sufficient information to meet requirements from across IFC, innovate on solutions and respond quickly and effectively to clients
  • Client Orientation - Takes personal responsibility and accountability for timely responses to client queries, requests or needs, working to remove obstacles that may impede execution or overall success
  • Teamwork (Collaboration) and Inclusion - Collaborates with other team members and contributes productively to the team's work and output, demonstrating respect for different points of view
  • Data mining skills (including data auditing, aggregation, validation and reconciliation) are a plus
  • Direct experience and/or knowledge of Informatica Data Quality, Master Data Management (MDM), are a plus
230

Data Architect Resume Examples & Samples

  • Develop/own Logical and Physical Data Models for the OCC data hub (using tools like, power designer, embarcadero, InfoSphere data modeler, ERWIN)
  • Must be familiar with emerging technologies
  • Implement models that confirms to OLTP / Data warehouse environments
  • Document, maintain and enforce data standards, including security, archiving, backup and recovery
  • Collaborate with regulatory and compliance teams to understand and then enforce the regulatory data requirement within the analytic platform
  • Make decisions about data platforms based on solid and unequivocal understanding of ETL, OLAP, EDW , NOSQL and large scale data platforming
  • Develop solid understanding of financial instruments and associated risk management models
  • Collaborate with business users and development teams to define data requirements and then then translate them into actionable data models and traceability to satisfy audit requirements
  • Responsible for the triage of reported production software issues, identifying defects, providing well considered patches
  • Work with regulatory requirement of the data and its traceability within the provided solution
  • Determine current limitations and compatibilities between subsystems, selection of new concepts and methodology, preparation of technical requirements and platform design specifications and development of major routines and utilities
  • Go from specification to fully developed Analytical solutions while partnering with multiple business units at the same time
  • Understand data models and their relationship to ETL process
  • Work with the team to develop a pre-ETL strategy and scripts to clean and map data
  • Assist with project related artifact and reporting requirement
  • Identify automation opportunities within data pipeline and recommend improvements
  • Collect data to identify root cause of problems, and escalate potential issues to Business Controls management as necessary
  • Review processes for opportunities improve efficiency and effectiveness, including opportunities to automate processes. Provide recommendations to manager
  • Provide analysis of new projects and efforts for impact to business processes and controls
  • Monitor production problems/incidents for impact to business processes and controls, escalate issues to manager or team
  • Design and perform tests of controls for design and operational effectiveness
  • Produce effective reports on the business processes and control activity, improvement efforts, as well as current effectiveness of controls
  • Develop and monitor, with supervision of direct manager, self-testing approaches for applicable individual controls. Work with business lines as needed
  • Coordinate process and control efforts with control groups to maximize efficiency and effectiveness
  • Other projects/tasks as assigned
  • 5+ years of solid enterprise data modeling
  • 5+ years of experience working as the lead analyst in the design of operational data store and Data Warehouse
  • Superior OLTP, de-normalized, dimensional and cross LOB integrated modeling skills at the conceptual, logical and physical levels, and experience documenting data models
  • Ability to work in a rapid-development environment i.e. Agile – Scrum Preferred
  • Strong knowledge of SQL, data warehousing concepts, various data management systems and integrating with various database technologies like Terra Data, UDB, IBM Netezza or Vertica is required
  • Hands on knowledge of BI tools (like Tableau, Spotfire, QlikView, Microstrategy) is a plus
  • Modern modern programming languages such as Java, Scala, Python
  • Understand undergraduate statistical construct and how to use them in a program
  • Understanding of the systems development life cycle (SDLC) in Waterfall, Lean, and Agile work environment
  • Market data feeds, storage and real-time reporting via advance analytics
  • Excellent communication and presentation skill is must
  • BS in computer science or related fields – MS is preferred
  • Certification in one of major data platforms (IBM, ORACLE or Terra Data) is a plus
  • Facilitation experience using excellent communication and collaboration in agile team setting
  • Experience with project planning and reporting results
  • Experience with both waterfall and agile methodologies
  • Financial data platforming experience
231

Data Architect Resume Examples & Samples

  • Contribute to Data Architecture by providing ongoing analysis of enterprise data stores to ensure the overall architecture remains appropriate and optimal for current and planned usage
  • Participate in requirements gathering, technical specifications, architectural design and support development as it relates to database design, access and utilization
  • Contribute to the overall direction relative to systems of record and how data compliance and regulations affect the handling of data among applications and the overall design recommendations
  • Serve as a resource to less experienced team members on escalated issues and as a training resource on understanding and handling the company’s data
  • Receive complex work problems/questions, develop accurate estimates and create project and component work based on specifications. Develop SQL code of medium to high complexity in support of these activities and provide direction to others on how to handle the question going forward
  • Bachelor’s degree; Graduate degree in Information, Computer and /or Pharma Science is a plus
  • Experience with data modeling tools, specifically ERwin (required)
  • Experience with Hadoop ecosystem (Hadoop, Hive, Impala, HBase, MapReduce/Yarn, etc)
  • 5+ years strong experience in database and data warehousing concepts and techniques. Must understand: relational and dimensional modeling, star/snowflake schema design, BI, Data Warehouse operating environments and related technologies, and ETL, MDM, and data governance practices
  • 5+ years of experience in Linux administration
  • 5+ years strong programming and system administration skills
  • Familiarity with Object Oriented concepts and languages, such as Java
  • Experience applying Continuous Integration/Continuous Deployment methodologies
  • Experience with unit testing frameworks and/or test driven development
  • 1+ years working with Data Virtualization tools
  • Ability to work in a fast-paced, team oriented environment
  • Experience with the following is a plus: Liquibase, Jboss Administration, building and supporting containers with Docker, Kubernetes or Mesosphere
  • Healthcare experience is a plus
232

Data Architect Resume Examples & Samples

  • Translate complex functional and technical requirements into detailed architecture, design and high performing capabilities
  • Lead the design and build of data patterns and services - both batch, real-time and complex event handing - leveraging open technologies
  • Ensure the timely delivery and constant communication of commitments meeting the expectations of stakeholders
  • Effectively manage operational risk and change with a continuous focus on process improvements
  • Demonstrated 10-15 years professional experience in big data including a university degree in Engineering, Computer Science or equivalent program
  • Advanced analytical and project management skills (DevOps, Extreme Programming, Agile, and Waterfall) for a variety of tasks or projects. Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists
  • Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting. Particular focus on Cloud (Azure) and Hadoop-based technologies and programming or scripting languages like Java, Linux, C++, PHP, Ruby, Python, R and SAS. Also expert knowledge should be present regarding different (NoSQL or RDBMS) databases such as Hawq/HDB, MongoDB, Cassandra or Hbase
  • Experience and capability in translating non-technical user requests into complex technical specifications and solutions that meet these requirements
  • Exceptional oral, written and interpersonal communication skills with the ability to simplify complex technical concepts into business & value-focused language. A key requirement is to communicate clearly and consistently keeping stakeholders well-informed of progress and challenges
  • Excellent organizational and time management skills, with ability to multi-task. Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong team player
233

Data Architect Resume Examples & Samples

  • Work with the Project Manager, Solution Architects, and others to ensure that adequate time and proper resourcing is available for the solution related to data while identifying risks and mitigation strategies
  • Participate in architecture reviews for specified tollgates. Identify any deviation from data-related standards and escalate to the Architecture Review Board when necessary
  • Ensure the solution meets the documented data needs of the business. Identify gaps and escalate to the Project Manager and/or Steering Committee
  • Review and drive solution to follow approved data architectural pattern(s)
  • Accelerate the delivery of the data solution through reuse, following data standards, and adhering to the architectural data patterns
  • Mentoring employee and contract resources making them aware of and ensuring they follow Novelis data standards and best practices
  • Collaborate with associate from Design through Deployment of a solution. Provide best practices guidance over multiple project roll-outs. Establish and enforce all development standards, procedures and practices
  • Puts in place appropriate processes and ensures the development and ongoing management of the data related resources/people (MDM, ETL, Tibco, etc.)
  • Bachelor’s or higher Degree in Computer Science, Information Technology, or similar field
  • 10+ years Information Technology experience
  • 5+ years Information Management (ETL, EDW, Integration, Analytics, Reporting, etc.) experience
234

Data Architect Resume Examples & Samples

  • Work as part of a team which will
  • Set up a Data Governance Framework for a Financial Services and Insurance company
  • Do Enterprise data model validation and customization in discussion with different stakeholder groups within the customer
  • Define Data Quality and Business Rules
  • Work on defining future data standards and data governance
  • 8-12 years of experience in data analysis, data modeling processes and techniques
  • Hands on experience in data mapping, data quality and migration
  • Hands on experience in building data dictionaries and data marts
  • Participation in Data Governance and Data Management programs
235

Data Architect Resume Examples & Samples

  • Drive the formation of a data portfolio and road map to support business vision for Retina andGlaucoma Business Sectors
  • Realize business vision through technology selection, conception, evaluation and implementation of robust and adaptive data architecture for the entire product portfolio from Retina and Glaucoma Business Sectors
  • Establish strategies to manage clinical, demographic and exam data captured, created and collected by entire product portfolio throughout the entire data lifecycle
  • Define value-driven data governance for the data assets from the entire product portfolio
  • Define security management to ensure privacy and confidentiality, in compliance with HIPAA regulations, preventing unauthorized and inappropriate data access
  • Define database operations management from creation and acquisition through archival and purge for local and distributed environments
  • Define data quality management to measure, assess, improve and ensure fitness of data for use
  • Define conversion and migration methods to handle legacy data across product portfolio
  • Define analytics platform strategy to add business value from existing and future product portfolio data
  • Support multiple product development teams during the development lifecycle
  • Define value-driven data models, standards and conventions
  • Lead data architecture feasibility activities during early development phase
  • Drive consistency with architecture, compression and security policies through design, implementation and deployment across teams
  • Drive adoption of data management best practices, such as automated testing
  • Define technical competency matrix for the software department to support business needs in data management
  • Define education and training to implement technical competency matrix in data management
  • May participate in project coordination across the various divisions of Carl Zeiss Meditec, with the Carl Zeiss Organization, or with third party development organizations
236

Data Architect Resume Examples & Samples

  • Providing technical and data leadership to the application development group, IT and the enterprise including being conversant with and cognizant of the future direction of systems, how that direction will impact the enterprise, and how future and current systems can be exploited for the benefit of the enterprise
  • Working closely with other IT groups to coordinate current and future plans and activities, including coordination and technical assistance to facilitate specific development projects that involve the computing environment, the coordination of software upgrades and the installation of new products
  • Recognizing and identifying potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding future business expansion
  • Experience in Hadoop and related technologies. Experience with Pivotal or Cloudera stack is an advantage
  • Ability to develop technical relationships with end-users, ISVs, OEMs and Intel platform architects and Proof-Of-Concept engineers
237

Data Architect Resume Examples & Samples

  • Manage analytic projects and customer expectations
  • Develop data architecture: review and refine data structures and schemas, gather new requirements and drive projects for downstream customers
  • Work with game designers pre-launch to influence all aspects of the game with analytic results
  • Work with game operators post-launch to optimize play balance, game economies, and to identify and close out exploits
  • Deliver presentations on analytic topics and results
  • Effectively communicate with other members of the team to build and implement analytic services
238

Data Architect Resume Examples & Samples

  • Ability to drive strategy and implementation of enterprise data architectures, providing technical guidance to other resources
  • Deliver data management vision, goals, priorities, design principles, and operating policies in support of the business goals
  • Design and oversee database models, data flow diagrams, database schemas, db scripts, DTD schemas, structures and data standards, enforcing standards, identifying new data structures to support the programs of work, managing the enterprise data model, the maintenance of the data, and enterprise data integration approaches
  • Ability to propose the strategic data migration/ clean up approaches
  • Strong hands-on experience developing business solutions in an Oracle OBAW, BI, EBS R12 - PDH environment
  • Demonstrates subject matter expertise for business customers and technical resources, Master Data Management processes and technologies
  • Works independently and provides guidance to less senior IT Business Analysts in all aspects of business and IT analysis and business systems analysis support
  • Understanding and incorporation of industry footprint and best practices for Master Data Management. Prototype and present potential solutions, document processes flow, Data Architecture
  • Work with Database Engineers to ensure common understanding and full awareness of application behavior and data requirements
239

Data Architect Resume Examples & Samples

  • Define vision, blueprint, strategy, & principles for data management including sources system design and BI data warehouse design
  • Lead key data migration and integration projects
  • Lead medium to high complexity data modelling, data mining and data warehouse initiatives
  • Define standards and processes for data governance, data modelling, and data naming conventions
  • Enforce data governance and standards among different development teams
  • Develop a strategic inventory of data needed for BI
  • Work in a consultative manner with system owners to gather data modelling requirements, define modelling needs, solution design and recommend best solution design practices
  • Research new opportunities /technologies for data acquisition, visualisation and data mining
  • Write ETL development specification and run POC to prove data transformation, migration or integration
  • Help mentor other system owners or junior level team members on best data architecture practices
  • Provide guidance and assistance for the big data analytics project
  • 10 + years of experience in a data-related specialization (data integration, data modelling, data warehousing, BI or etc.) and 5+ years in data architect and design area
  • Excellent in data architecture, modelling, management, and governance design for enterprise systems and data warehouse
  • Excellent in T-SQL and familiar with MS SQL Server or other RDMS
  • Excellent communication skills and the ability to persuade others through presentations, demonstrations, and written communications
  • Experience in established and emerging data technologies e.g. Microsoft SQL Stack, NOSQL DB, predictive analytics, data visualization
  • Experience in leading large data migration and integration projects
  • Experience in creating master data management and business glossary framework is a big plus
  • Strong leadership and influencing skills to make things happen
  • Strong problem solving and logical thinking skills - the ability to take complex ideas and break them into logical actionable steps
  • Strong attention to detail with an analytical mind-set
  • Familiar with any big data DB technologies such as NO SQL, Cassandra, MongoDB and etc. is a big plus
  • BS degree in Computer Science, Information Management or other related majors
240

Data Architect Resume Examples & Samples

  • Data Architect experience operating within Data Management functions of similar organisations
  • Hands-on experience of Enterprise Data Modelling (conceptual, logical & physical)
  • Experience in working on large-scale, distributed architectures
  • Proven track record of taking responsibility for data architect decisions and assurance across complex changes
  • Oracle data warehouse technology
  • Relational and Non-relational persistence layers
  • PaaS based data warehouse solutions (e.g Google Bigquery, Amazon Redshift)
  • Data security, privacy and retention
241

Data Architect Resume Examples & Samples

  • Perform design activities which involves understanding the complex inter play between applications, and the underlying architecture of applications themselves, along with the long term objectives of the business to ensure technology solutions best fit the long term vision of the organization
  • Develop the database solution by defining the database physical structure and functional capabilities, data processing pipelines, security, back-up, and recovery specifications
  • Implement data warehouse solutions which are amenable for the different types of data we collect
  • Optimize various types of data to accommodate large data volumes and high throughput processing
  • Ongoing support with definition and maintenance of metadata, business terms, data ownership and governance, CDE’s, information flow diagrams, within the data domain
  • Analyze database activity to identify improvements in indexing, file structure, and maintenance processes
242

Data Architect Resume Examples & Samples

  • Five (5) or more years of experience as a developer, database administrator or other related IT role, required
  • Three (3) or more years of experience in a data architect role, preferred
  • Experience implementing, developing or supporting master data management, analytics or business intelligence platforms, required
  • Experience in designing and implementation of data warehouses and data lakes, preferred
  • Experience in data modeling of large and complex data stores, preferred
  • Professional services firm experience, preferred
  • Strong analytical, organizational and problem-solving skills
  • Ability to follow an issue through to its logical conclusion, and escalating where necessary
  • Ability to work independently as well as part of a team
  • Ability to maintain accurate documentation and technical authorship of complex documents
  • Ability to translate complex technical issues and topics into layman terms for diverse audiences
  • Capable of communicating and interacting with all levels of employees and management
  • Ability to interact and build relationships and consensus among people
  • Ability to facilitate meetings efficiently and effectively
  • Ability to effectively organize and delegate complex tasks
  • Capacity to work in a deadline-driven environment while handling multiple complex projects/tasks simultaneously with a focus on details
  • Advanced knowledge and understanding of the firm’s standard applications and all aspects of the IT environment
  • Ability to research and resolve problems, acquire and maintain knowledge of relevant software solutions and support firm policies and procedures
  • Capacity to travel, on a limited basis, in support of stated goals and/or for firm sponsored trainings and conferences
243

Data Architect Resume Examples & Samples

  • 10+ years’ of hands-on data warehousing/data mart development experience
  • 7+ years’ of hands-on experience with relational databases
  • A Bachelor’s degree in a related field
  • Candidate must be authorized to work in the United States without sponsorship
  • Life insurance domain knowledge
  • Call center domain knowledge
  • HP Vertica Experience
  • Expert level experience with SQL and writing complex stored procedures/scripts
  • Expert in data warehousing principles utilizing fact and dimension tables, star and snowflake schema data modeling, and data normalization
  • Must be able to strategize enhancements to the data warehouse (and data model) as new data is added without adversely impacting the current state
  • Experience in designing and implementing business intelligence (BI) systems with an eye on enriching data with relevant and/or advanced metrics and KPIs
  • Has to be a self-starter, highly motivated, and will work under minimal supervision
  • Will be the RMM team’s go-to authority for all data-related items
  • Extensive experience in dimensional data modeling
  • Ability to devise and implement tactical and strategic technical solutions to complex business problems
  • Superior communication skills (written, verbal, and presentation)
  • Ability to collaborate on multiple projects simultaneously
  • Experience dealing and communicating with vendors (external and internal) from a data perspective
  • Extensive experience with data analysis
  • Experience with Linux (particularly in vi and bash scripting)
  • Adheres to and practices the Kimball principle and approach of delivering data marts to build a full-scale data warehouse
244

Data Architect Resume Examples & Samples

  • Analyze business, data and systems requirements in order to perform data modeling and design (high level conceptual business/data models, entity-relationship and dimensional logical data models, and detailed physical database design models)
  • Collaborate with colleagues within the data architecture team to provide technical design guidance that aligns with the enterprise architecture vision and applicable technical standards
  • Responsible for the consistency of data design across projects by adhering to standards, following roadmaps and implementing strategic initiatives
  • Engage with Data Base Administration staff in deploying the physical data models
  • Recommend improvements to existing data design and data flows
  • Participate in research, evaluation, and proof of concept for new tools and technologies that impact information architecture
  • Participate in the development and maintenance of data principles, standards and guidelines that define best practices in the information domain and guide data architecture and design decisions
  • 4+ years' experience in IT with either data modeling or development
  • Experience with application system design and implementation, data warehousing principles and methodologies
  • Experience with data modeling tools such as ErWin or Power Designer
  • SQL/ SQLPlus knowledge
  • Experience with Adhoc query tools
  • Experience working with relational and non-relational databases and technologies such as DB2, Oracle, SQL Server, Hadoop,Cassandra
  • Understanding of different data integration methods and techniques. Familiarity with SOA principles and related technologies (e.g. XML, JSON, SOAP, REST, API, micro services) is a plus
245

Data Architect Resume Examples & Samples

  • Participate in enterprise data strategy & collaborate closely with enterprise architects
  • Identify and document best practices, standards and architecture guidelines
  • 10+ years of proven hands on experience in data architecture, data modelling (relational, dimensional, columnar, big data), data architecture and metadata management
  • 2+ years of hands-on experience in Big Data Databases (Hive, Hbase/Phoenix)
  • Experience with machine learning, statistical techniques, text mining, natural language processing, computational linguistics and information retrieval is a plus
  • Retail or Customer or marketing analytics background is a plus
246

Data Architect Resume Examples & Samples

  • Develop data standards and practices for use by the development community to ensure consistent data taxonomy and design across applications and sources
  • Catalog and curate our data landscape across the enterprise by developing a corporate data catalog for use by analysts, developers, and power data users
  • Oversee the design of our new in-memory ODS and continued the evolution of our data warehouse with an eye toward our next generation data platform
  • Provide architectural oversight of the data governance process
  • Accelerate the adoption of new data technologies by jump starting development of new initiatives and developing proof-of-concepts utilizing emerging technologies
  • Evangelize and mentor the data community on new data patterns and practices planned for adoption at BBI
  • Provide data thought leadership to architectural reviews and oversee the enforcement of standards through application code reviews
247

Data Architect Resume Examples & Samples

  • 1) Experience building out ETL processes and data pipelines (preferably with Informatica or DataStage)
  • 2) Extensive SQL skills
  • 3) Experience with Python scripting and R-scripting for data manipulation
248

Data Architect Resume Examples & Samples

  • Acting as a subject matter expert for cross divisional important projects in relation to data architectural issues and data mining activities to facilitate analysis tasks for the CDA
  • Providing data analysis of existing CIB/GTB systems in relation to Reference Data Services (RDS)
  • Developing a data strategy and a conceptual data model for CIB/GTB
  • Providing support regarding data delivery for the introduction of a golden source for CIB/GTB for parties, products, instruments and common reference data
  • Ensuring co-ordination and support of groups in the business, who need data architectural help
  • Co-operating with the Reference Data Manager who links into the Bank-wide Reference Data Services programme
  • Educated to Bachelor’s degree level with a concentration in Information Technology (IT) or Banking (or equivalent) or good experience in the Financial Services or IT industry
  • Previous experience in data modelling, business intelligence, analytics, canonical data model definition, data governance, data integration, data migration etc
  • Knowledge of software development and database implementation plus familiarity with database design tools like Power Designer (beneficial)
  • Understanding of business use cases and the ability to define data domains that will structure multi-dimensional modelling
  • Basic understanding of transaction banking and corporate finance products, knowledge in core banking
  • Good knowledge of Microsoft Access, Excel, Visio and Powerpoint
  • Knowledge of relational databases (Oracle) and BIG databases (Hadoop) (beneficial)
  • Creative and pro-active, able to work under pressure
  • Self-motivated team player with a service and customer focus
249

Data Architect Resume Examples & Samples

  • Create and establish a common Business Vocabulary / Taxonomy for the business
  • Build/Extend a canonical schema for all A2A and B2B integration layers
  • Design API / Service Layer interfaces
  • Know and apply Industry standards as they relate to our business (ie. GeoJSON, IoT/Sensor API, etc.)
  • Develop and document data architectural solutions and recommendations for business products
  • Close calibration with product managers and lead engineers
  • Lead technical conversations with domain architects, engineering teams, application developers, data-scientists on solutions and issues specific to data / information architecture
  • Ensure existing data/information assets are identified, stewarded, governed and leveraged across the enterprise
  • Identify gaps within existing data architecture and recommend alternative solutions
  • Participate in the definition of technical standards and guidelines that pertain to data and information-use, security, access and governance
  • Proven experience with logical / physical data modeling across a number of different data management platforms. Ideal candidate should be able to data model relational and document/object styles
  • Require at least 3 years of Avro / JSON / XML schema design
  • At least 2-years of experience designing REST API Interfaces
  • Working knowledge of API Management is preferred, leveraging Apigee is a plus
  • Should have at least 2 years of experience with a number of different real-time integration tools such as Apache Flink, Apache Kafka / Schema Registry
  • Experience with Hortonworks DataFlow (NifI, Kafka, Storm, Atlas) and Hortonworks DataPlatform (Yarn HDFS) is preferred
  • Proficient with GeoSpatial functionality and data modeling techniques to support GeoSpatial solutions (GeoJSON)
  • Possess at least 1 year of experience leveraging Cloud Services (IaaS, PaaS). AWS Certification is preferred
  • Skilled with data integration issues and integration patterns
  • Proven ability to lead multiple high priorities initiative with aggressive timelines leveraging an agile framework
  • Comfortable performing in a fast paced, dynamic and ambiguous business environment
  • Ability to concentrate on a wide range of loosely defined complex situations, which require creativity and originality, where guidance and counsel may be unavailable
  • Demonstrated a product mindset with an ability to set forward thinking and direction
  • Excellent listening and communication skills
  • Must be able to communicate technical information clearly, able to ‘translate’ between diverse groups of technical and non-technical individuals
  • Ability to synthesize large amounts of complex data into meaningful conclusions and present recommendations to a vast array of individuals
  • Partner with business units in order to improve the effectiveness of business decisions
  • Ability to structure documents to effectively communicate with senior leadership and drive alignment and decision making
  • Strong problem solving skills with the ability to offer why one technical solutions is more preferable than another
  • Ability to analyze and interpret complex concepts
  • Ability to lead a group of employees (directly or indirectly)
  • Bachelor’s Degree required, Master’s Degree Preferred
250

Data Architect Resume Examples & Samples

  • Experience with database management systems (DBMS), Oracle, MSSQL, MySQL
  • Background in data reporting solutions and visualization techniques using, Business Objects, Tableau, etc
  • Experience with Solr. , natural language processing, and RESTful APIs