Big Data Solution Architect Resume Samples

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SS
S Schiller
Stanton
Schiller
300 Stokes Street
Los Angeles
CA
+1 (555) 811 2101
300 Stokes Street
Los Angeles
CA
Phone
p +1 (555) 811 2101
Experience Experience
Houston, TX
Big Data Solution Architect
Houston, TX
Strosin and Sons
Houston, TX
Big Data Solution Architect
  • Design and develop high performance, robust and secure solutions based on HortonWorks ecosystems
  • Assess EMR-related knowledge across AWS sales, solutions architecture and business development teams and develop plans to address gaps
  • Provide MS Azure –IaaS/PaaS expertise on Hortonworks stacks
  • Provide expertise on batch & stream analytics with HDFS, Kafka, Spark, Web-HDFS and Hortonworks stack
  • Stay current with emerging tools and technologies and recommend adoption that will provide competitive advantage and development/delivery efficiencies
  • Develop technical presentations & proposals, & perform customer presentations
  • Evaluate new technologies, execute proof-of-concepts and develop specialized algorithms
Chicago, IL
Google Big Data Solution Architect at
Chicago, IL
Barton LLC
Chicago, IL
Google Big Data Solution Architect at
  • Architect solutions for key business initiatives ensuring alignment with future state analytics architecture vision
  • Work closely with the project teams as outlined in the Agile methodology providing guidance in implementing solutions at various stages of projects
  • Roll up your sleeves and work with project teams to support project objectives through the application of sound architectural principles
  • Adopt innovative architectural approaches to leverage in-house data integration capabilities consistent with architectural goals of the enterprise
  • You are responsible for the end-to-end architecture of a Delivery, including its assembly and integration into the IT architecture principles defined with the client
  • You define the structure of the system, its interfaces, and the principles that guide its organization, software design and implementation
  • You are responsible for the management and mitigation of technical risks, ensuring that the Delivery services can be realistically delivered by the underlying technology components
present
Boston, MA
Senior Big Data Solution Architect
Boston, MA
Powlowski-Okuneva
present
Boston, MA
Senior Big Data Solution Architect
present
  • Provide an overall architect responsibilities including roadmaps, leadership, planning, technical innovation, security, IT governance, etc
  • Present and persuade the design architecture to the various stakeholders (Customer, Server, Network, Security and other teams )
  • Produce artifacts in support of reference architecture advocacy and implementation, including authoring documentation, white papers, and presentations/diagrams for dissemination to technical and business audiences
  • Acting as a senior architect, provide technical and process leadership for projects, defining and documenting information integrations between systems and aligning project goals with reference architecture
  • Lead end-to-end Hadoop implementation at large enterprise environment integrating with multiple legacy applications in heterogeneous technologies (Microsoft, Java, PowerBuilder, Oracle, SQL Server, Mainframe, GIS (Point Cloud), Sensors etc)
  • Provide technical leadership and governance of the big data team and the implementation of the solution architecture in following Hadoop ecosystem (Hadoop (HortonWorks), Map Reduce, Pig, Hive, HC Catelog, Tez, Spark, Pheonix, Presto, Hbase, Accumulo, Storm, Kafka, Flume, Falcon, Atlas, OoZie, Ambari, Hue, Security – Kerberos, Ranger, Knox, Oracle ASO, HDFS encryption, AD/LDAP, hosting platform - AWS)
  • Configure and tune production and development Hadoop environments with the various intermixing Hadoop components
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of Tennessee
Bachelor’s Degree in Computer Science
Skills Skills
  • Deep ability to tackle enterprise wide deployment, scalability, availability, and performance issues
  • Strong knowledge and experience in CEM domain
  • Proven ability to deliver high profile activities to tight timescales
  • Maintain and ensure availability and quality of platforms
  • Deep practical knowledge of enterprise considerations and business process issues
  • Knowledge of multiple languages, multiple platforms & several development methodologies
  • NoSQL: HBase, Cassandra, MongoDB, CouchDB, Memchached, DynamoDB, Druid, BigTable
  • Able to develop Application Architectures for complex business functionality across multiple platforms and devices
  • NoSQL: HBase, Cassandra, MongoDB, CouchDB, Memcached, DynamoDB, Druid, BigTable
  • Comfortable learning cutting edge technologies and applications to greenfield projects
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8 Big Data Solution Architect resume templates

1

Technical Lead & Big Data Solution Architect Resume Examples & Samples

  • Continue to develop the consumer Big Data platform so that it meets the evolving needs of multiple divisions in a secure, available, scalable and performant manner. Be able to deliver your vision and evolve the analytics capabilities of WB
  • Create the best consolidated view of the consumer for a large variety of ever increasing data sources. Utilize various tools and technologies to help deliver relevant content and solutions to consumers at a individual and household level
  • Develop a series of analytic applications that range from pulling and pushing data through various APIs to building machine learning applications against the data platform. Build prototypes and productionalize successes to acquire more data and deliver results against it
  • Evaluate new technologies, learn about AWS and vendor tools that will improve the environment. The cloud is evolving quickly and you need to be on top of it
2

Aws-senior Big Data Solution Architect Resume Examples & Samples

  • Solid problem-solving abilities coupled with a desire to take on responsibility
  • Attention to detail in documenting information and ability to show ownership of follow through in customer resolutions
  • 8- 10 years in progressively more responsible roles in either solutions architecture, support or IT professional services
3

Senior Big Data Solution Architect Resume Examples & Samples

  • Acting as a senior architect, provide technical and process leadership for projects, defining and documenting information integrations between systems and aligning project goals with reference architecture
  • Acting as a senior architect, work with business and technology cast members to define information needs, then architect and estimate solutions in the form that supports desired business and technical capabilities / requirements
  • Perform industry research for best practices in architecture and data management for current initiatives and proactively share this information as applicable with other members of the team
  • Demonstrated product and delivery experience across all tiers in the solutioning of information management solutions – from data sourcing to end­state delivery / consumption
  • Disciplined approach to the development and delivery of technology solutions. Experience presenting technical concepts and solutions to business and technology stakeholders. Proven ability to drive and influence change through innovation & process improvement. Professional written and verbal communication skills
  • 7 years of relevant experience in the solution architecture and implementation oversight of data­ intensive solutions
  • 4 years of relevant experience with ETL/ELT data­integration platforms such as Informatica, Data Stage, Data Services, etc
  • 4 years of relevant experience with Business Intelligence toolsets such as Business Objects (BI on Hive a plus)
  • 2 years of relevant experience implementing solutions leveraging NOSQL data platforms (Cassandra, Mongo..) and real time data sharing (e.g. Kafka, Storm) a plus
  • Understanding of Web Services and Restful Services (WSDL/XML/JSON)
  • Understanding of multiple languages for ETL and data query (e.g. SQL, Java, map reduce, R)
4

Lead Big Data Solution Architect Resume Examples & Samples

  • Acting as a senior architect, work with business and technology cast members to engineer and estimate information solutions that support desired business and technical capabilities / requirements
  • Support project delivery through the analysis and perception for change impacts and acts of discovery
  • Proactively look for opportunities to align technology as an enabler for business needs and capabilities (e.g., identify need for enterprise data warehouse, advanced analytics, etc)
  • Perform research for best practices in architecture and data management in support of the information management technology roadmap and proactively share this information as applicable with other members of the team
  • Experience developing data, reporting, and analytic solutions with estimation that have been successfully implemented
  • Hands-on experience with platforms such as AWS EMR, Hadoop, Spark, or Kafka and languages such as Python, JAVA, or SQL
  • Disciplined approach to the development and delivery of technology solutions
  • Experience presenting technical concepts and solutions to business and technology stakeholders
  • 2 years of relevant experience implementing solutions leveraging multi-structured (Hadoop) or NOSQL (MongoDB, Cassandra, HBase) data platforms required
  • 7 years of relevant experience in Very Large Data Warehousing and/or Advanced Analytics using massively parallel (MPP) database platforms (such as Teradata, Netezza, etc)
  • 4 years of relevant experience with ETL/ELT data-integration platforms such as Informatica, Talend, etc a plus
  • 4 years of relevant experience with Business Intelligence toolsets such as Business Objects, Tableau, etc a plus
5

Big Data Solution Architect, Lead Resume Examples & Samples

  • Proven understanding and related experience with Hadoop, Hive, Pig, Sqoop, Flume, Hbase and Map/Reduce
  • Ability to write Hive queries and UDF’s
  • Experience with Apache Storm for real-time event processing is a plus
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP)
  • Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica)
  • Hands-on experience with BI tools and reporting software (e.g. OBIEE, Tableau)
  • Sound knowledge of Relational Databases (RDBMS), SQL & No-SQL databases
  • Experience with agile/scrum methodologies
  • Prefer experience with Hortonworks Hadoop distribution platform
  • Define the BI solution technical architecture vision and ensure alignment with business goals
  • Ensure that any technical risks are clearly defined and understood by the Business, Project Management and IT leadership
  • Lead efforts to capture, document, communicate and present all information pertinent to an end-to-end business solution including architecture and supporting recommendations
  • Coordinate and lead meetings to review the overall solution design and the detailed design of all components of the solution
  • Ensures that the design and integration of customer solutions leads to the development and growth of the business through effective use of Business Intelligence technology
  • Coordinate with other team members to resolve functional or technical issues within the BI environment
6

Big Data Solution Architect Resume Examples & Samples

  • Architect solutions for key business initiatives ensuring alignment with future state analytics architecture vision
  • Roll up your sleeves and work with project teams to support project objectives through the application of sound architectural principles
  • Minimum 2+ years of hands on experience with Data Management using Big Data Technologies
  • Hands on Experience with Spark & ElasticSearch
  • Experience with lead role in Java development
  • Experience with Meta Data tools and techniques
  • Experience with ELT tools such as Talend
  • Minimum 5 years of experience creating Data Marts / DW architectures
  • Experience delivering against long-term, strategic technology roadmaps
  • Success leading multiple projects using the Agile methodology
  • High accountability with a demonstrated ability to deliver
  • Demonstrated ability to communicate clearly and concisely ideas (both verbally and in writing) to executives and technologists
  • Relevant Bachelor's degree or equivalent experience
7

Big Data Solution Architect Resume Examples & Samples

  • Engage constructively with project teams to support project objectives through the application of sound architectural principles
  • Provide technical and architectural subject matter expertise on Hortonworks Data Platform (Data mgmt- Hadoop, Data Access- HBAse, Hive/Pig, Spark, Storm., Integration – Kafka, Flume..)
  • Execute engagements as hands on Technical Architect and provide technical expertise for Big Data programs
  • Provide right-fit solution to implement variety of data, analytics requirements using Big Data technologies in Insurance/Healthcare space
  • Provide expertise in defining Big Data Technical Architecture and design using Hadoop, NoSQL and Visualization tools/platforms
  • Ability to get down to the programming/code level and provide hands-on expertise in technical features of Big Data tools/platforms
  • Lead a team of designers/developers and guide them throughout the system implementation life cycle
  • Engage client Architects, Business SMEs and other stakeholders during Architecture, Design and implementation phases
  • Experience with Hadoop ,NoSQL, Stream processing Big Data tools
  • Experience with real-time processing technologies such as Spark, Kafka and Storm
  • Experience with ETL
  • Experience in implementing one or more Big Data platforms from Cloudera, Hortonworks, IBM Big Insights and NoSQL DBs such as Mongo DB
  • Experience with Data Mart/Data Warehouse
  • Experience with Meta Data Tools and Techniques
  • Experience with Cloud based Hadoop stack (Azure HDInsight etc..) , .NET technologies etc
8

Big Data Solution Architect Resume Examples & Samples

  • 15 years of experience in Application Development and Database technologies
  • Experience in programming languages: C, C++, Java, Python, Scala and scripting languages
  • Strong knowledge of Compiler construction concepts
  • Expertise and strong fundamentals in BigData and Map/Reduce technologies
  • Proficient in Data Analysis using R programming language
  • Expertise in multiple databases including Oracle, MemSQL, Netezza, Teradata, SybaseIQ (SQL, PL/SQL, Indexes and Indexing Strategies Materialized Views, Clusters, Caching, Partitioning, and Parallel Processing, Data Replication Architecture)
  • Strong knowledge of data security
  • Knowledge of Data Processing platforms like Ab Initio, Talend
  • Strong knowledge of Data Structures and Algorithms (Arrays, Lists, Queues, Heaps, Stacks, Trees, Graphs, Sorting, Searching, Hashing, Parsing, divide-and-conquer, dynamic programming, greedy algorithms, graph algorithms, shortest paths, Machine learning, Scheduling and Resource management)
  • Experience with developing new scripting languages - Defining grammar and developing interpreters for new scripting language
9

Big Data Solution Architect Resume Examples & Samples

  • Work with customers to deploy cutting-edge solutions that leverage Amazon EMR
  • Develop technical content, such as white papers and reference architectures, that can be used by our customers to assist them in deploying cloud-based analytic solutions
  • Assess EMR-related knowledge across AWS sales, solutions architecture and business development teams and develop plans to address gaps
  • Evangelize Amazon EMR technologies to big data community
  • Build and maintain technical trusted advisor relationships to influence key technical decision makers on platform choices
  • Represent AWS at trade events by delivering presentations and lectures
  • Partner with the EMR service team to channel voice-of-the-customer on emerging trends and requirements to materially shape the roadmap
  • 7+ years hands-on implementation or consulting experience building large-scale big data systems
  • 3+ years of Software Development experience with C++, Java, .NET, Python or Ruby or other languages
  • Experience with data analytic tools including Apache Hadoop, Hive, Pig, Spark, Storm, HBase, Mahout and others
  • BA/BS degree required; Computer Science, Math or Technical background highly desired; Advanced Degree a plus
  • Knowledge of Amazon EMR
10

Big Data Solution Architect Resume Examples & Samples

  • Design, implement and deliver complete analytic solutions for customers
  • Own the data architecture and infrastructure
  • Architect, build and maintain high performing ETL processes, including data quality and testing
  • Define and build technical and data architecture for data warehouse, data marts and big data solutions (including data and dimensional modeling)
  • Develop analytics with a mind toward accuracy, scalability and high performance
  • Provide technical guidance and thought leadership to other programmer analysts in the team
  • Establish lean data governance to drive data standards and data quality. Be an evangelist in the company for data-informed thinking and decision making
  • Advanced knowledge of a programming language such as Java/Python/Scala
  • Deep knowledge of RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL databases such as HBase, Vertica, MongoDB, DynamoDB, Cassandra
  • Demonstrates broad knowledge of technical solutions, design patterns, and code for medium/complex applications deployed in Hadoop production
  • Knowledge of working in UNIX environment with good amount of shell scripting and python experience. Knowledge in spring, Core Java, MapReduce
  • Experience in architecting and building data warehouse systems and BI systems including ETL
  • Deep, hands-on AWS experience including Redshift, RDS and S3
  • Experience in performance troubleshooting, SQL optimization, and benchmarking.Strong architectural experience in context of deploying cloud-based data solutions
  • Master’s degree in related field AND 8+ year’s experience
  • Familiarity with MicroStrategy and RedShift, DynamoDB
  • Previous work experience in applying statistics to HR and business outcomes
  • Working knowledge of HR data and systems (i.e. PeopleSoft) is a plus
  • Outstanding analytical skills, excellent team player and delivery mindset
11

Big Data Solution Architect Resume Examples & Samples

  • Big data / Hadoop
  • MPP systems - Teradata or Greenplum
  • At least one ETL and one Reporting tool
  • Qualification: Bachelor's Degree
  • Certification: Should have EM Level 1
  • Should be proficient in Negotiating, Vendor Management, Financial Reporting, Risk Management and Problem Diagnosis & Solution
  • Should have progressing skills in Financial Analysis, Change Management and Quality Management
12

Big Data Solution Architect Manager Resume Examples & Samples

  • Solution architecture: end to end analytics solution architecture design and delivery estimation
  • Client facing skills: ability to build trusted relationships with client stakeholders and act as a trusted adviser
  • Security Architecture, Security Assessments and Identity and Access Management for Hadoop and NoSQL platforms
  • Additional Hands-on experience with related/complementary open source software platforms and languages such as Java, Linux, Apache, Perl/Python/PHP, Scala
  • Proven ability to deliver high profile activities to tight timescales
  • Ideally, educated to degree level
13

Big Data Solution Architect Consultant Resume Examples & Samples

  • Re-architecting and rationalizing traditional data environments with Hadoop or NoSQL technologies
  • Designing and implementing data pipelines on Hadoop and NoSQL platforms to enable rapid prototyping and accelerated productionisation
  • Creating data management solutions covering data security, data privacy, metadata management, multi-tenancy and mixed workload management on Hadoop and NoSQL platforms
  • NoSQL: HBase, Cassandra, MongoDB, CouchDB, Memchached, DynamoDB, Druid, BigTable
  • Processing frameworks & programming tools: Spark (Scala/Python/Java), MapReduce, Pig, Hive
  • Cloud platforms: AWS, Azure, GCP
  • Enterprise data integration, BI and analytics platforms: Informatica, Talend, InfoSphere, SAS, RevoR, QlikView, Qlik Sense, Tableau, Spotfire
  • Other tools, databases and Apache projects: Google BigQuery, Presto, Drill, Kylin, OpenTSDB etc
  • Agile and DevOps delivery practices: familiarity with agile and DevOps delivery and deployment methodologies, experience with continuous integration, automated code reviews and regression testing
  • Proven ability to apply analytical and creative thought
  • Keenness to learn and try new things
14

Big Data Solution Architect Resume Examples & Samples

  • Design and develop high performance, robust and secure solutions based on HortonWorks ecosystems
  • Advise clients on best solution designs and technologies to meet their business requirements
  • Successfully drive collaborative “solutions development” projects and ensure IT environment sustainability
  • Contribute hands-on experience through all phases of system design lifecycles
  • Evaluate platform capabilities and recommend HDFS best approaches focusing on client goals
  • Analyze functional & non-functional requirements & severity impacts on the solution designs
  • Create networks clusters and enhance monitoring capabilities for “Live Production Environments”
  • Innovate constantly, maintain the technical edge and contribute to thought leadership
  • Evaluate new technologies, execute proof-of-concepts and develop specialized algorithms
  • Provide technical support and advise on HDFS cluster designs and environment management
  • Lead project teams, guide on specific technical aspects and formulate best practices
  • Support operational teams and clearly articulate “pros and cons” of various Hadoop technologies
  • Provide MS Azure –IaaS/PaaS expertise on Hortonworks stacks
  • Provide expertise on batch & stream analytics with HDFS, Kafka, Spark, Web-HDFS and Hortonworks stack
  • Provide support on Digital Data Ingestion tools i.e. Splunk
15

Big Data Solution Architect Resume Examples & Samples

  • Experience designing and building complex, high performance platforms to support Big Data ingestion, curation and analytics
  • Thorough understanding of the Cloudera Hadoop ecosystem, security, Kerberos, TLS/SSL encryption, and Sentry
  • Experience and understanding of various third party vendor solutions such BI reporting solutions, ETL solutions, and search engines
  • Proven track record working in industrial scale relational Oracle and SQL Server databases in a data warehousing setting such as healthcare, banking and finance, or telecom
  • Deep understanding of Hadoop storage and compute frameworks – Key Value stores, wide column stores, mutable vs. immutable stores, document stores
  • Linux file system management
  • Experience and understanding of various third party vendor solutions such as StreamSets, H2O, TAMR, Composite, Trifacta,
  • Programming languages like Java, Scala, C++
  • Scripting languages like Python, Bash Perl
  • Broad knowledge of pharmaceutical R&D and/or practical experience in a scientific domain (e.g. Chemistry)
  • Provide leadership and direction for the implementation of capabilities of the Big Data Platform
  • Research and recommend tools and technologies for the R&D Information Platform
  • Stay abreast of new technologies and solutions in the Big Data arena
  • Demonstrated skill in delivering solutions that integrate commercial off-the-shelf products
  • Strong knowledge of industry standards and technology platforms aligned to GSK and R&D roadmaps
  • Proven experience in solution architecture processes, practices, and guidelines
  • Understands continuous integration and delivery methods for Big Data platforms
  • Extensive experience in management of outsourced resources and IT vendors
16

Big Data Solution Architect Resume Examples & Samples

  • Designing and implementing modern, scalable data architectures for our clients leveraging Hadoop, NoSQL, Apache open source and emerging technologies, covering on-premise and cloud-based deployment patterns
  • Providing advisory services and thought leadership on modernising analytics environments leveraging big data technologies, including integration with existing data and analytics platforms and tools (EDWs, data integration, BI platforms etc.)
  • Defining, designing and implementing data access patterns for right-time/streaming workloads including data acquisition, storage, processing and access
  • Architecting for a data marketplace to enable data access via APIs, Search, BI tools and interactive SQL
  • Hadoop platforms & distributions: Cloudera, Hortonworks, BigInsights, MapR, EMR
  • NoSQL: HBase, Cassandra, MongoDB, CouchDB, Memcached, DynamoDB, Druid, BigTable
  • Search: SOLR, ElasticSearch
  • Relational DBs: Teradata, Oracle, Netezza, SQL Server
  • Distributed Systems: Software and hardware architectures, algorithms and protocols
  • Storage, Networking and Virtualization/Cloud Strategies and Architectures
  • Design and Implementation of large scale data loading, processing, analysis and exploration using Hadoop/NoSQL technologies
  • Big Data architecture patterns, and policies and procedures for operational management of big data platforms
  • Performance analyses and tuning of Hadoop and NoSQL platforms
  • Experience delivering projects within an agile environment
17

Big Data Solution Architect Resume Examples & Samples

  • Support engagement for Customer
  • Identify and drive improvements
  • Previous experience in Big data /BI projects
  • Previous experience in RFQ processes
  • Strong knowledge and experience in CEM domain
  • Knowledge in BD/BI ddb and tools
18

Big Data Solution Architect Resume Examples & Samples

  • Deep knowledge of multiple areas of specialization
  • Expertise in multiple systems and environments
  • Deep practical knowledge of enterprise considerations and business process issues
  • Able to develop Application Architectures for complex business functionality across multiple platforms and devices
  • Knowledge of multiple languages, multiple platforms & several development methodologies
  • Minimum of 1 year of experience with Hadoop
  • Minimum of 5 years of experience developing and architecting new solutions
  • Prefer 3+ years of Hadoop Experience
19

Big Data-solution Architect Resume Examples & Samples

  • The Solutions Architect requires individuals who are self-motivated and comfortable being in a position that grants autonomy
  • Experience working with Big Data technologies, particularly related to the Apache Hadoop project (Spark, Storm, Hive, Impala, etc.)
  • Experience implementing big data solutions like Cloudera, MapR or Hortonworks
  • Ability to work effectively in matrix and virtual team projects
  • Requires in-depth understanding of Business Intelligence across key industry verticals
  • Superior presentation, oral and written communication skills
  • Ability to translate technical advantages into business benefits
  • Polished and professional in both appearance, personal interaction, and all communications
  • Demonstrated understanding of relational database management systems (RDBMS) and with strong SQL skills
  • Experience and expertise in data modeling for OLAP and BI applications
  • BS/BA Degree in MIS, Computer Science or technical field or equivalent experience
  • 3-5 years experience in a customer facing role, whether sales, training or other
  • Successful completion of MicroStrategy certification program upon employment
  • Must possess a very broad and deep level of knowledge and understanding of the MicroStrategy suite in order to effectively position and convey the merits of the platform to customers and prospects
  • Experience in an equivalent role for a technology firm a major plus
  • Proficiency in technologies which are complementary to MicroStrategy software a plus, particularly: .NET or JSP, Java, UNIX or Linux, Windows, Security, XML/XSL, DHMTL
  • Experience in deployment of applications to Mobile devices a strong plus
  • Understanding of the Social Networking landscape and the opportunities presented to BI a strong plus
20

Google Big Data Solution Architect at Resume Examples & Samples

  • Architecting/Implementing BI/Big Data solutions in Google Cloud Platform using services such BigQuery, Cloud SQL , Cloud Data Proc and Container Engine
  • Data modeling of Data Warehouse/Mart in Google BigQuery for reporting tools such as MicroStrategy/Tableau
  • Defining/implementing design patterns for data ingestion/transformations using ETL tools such as Informatica/Talend/Cloud DataFlow
  • Firm understanding of scripting languages - Python/PHP/R
  • Work closely with the project teams as outlined in the Agile methodology providing guidance in implementing solutions at various stages of projects
  • Develop and validate that the proposed solution architecture supports the stated & implied business requirements of the project
  • Adopt innovative architectural approaches to leverage in-house data integration capabilities consistent with architectural goals of the enterprise
  • Create architectural designs for different stakeholders that provide a conceptual definition of the information processing needs for the delivery project
  • Should be experienced in technology awareness & leveraging and innovation & growth capability
21

Big Data Solution Architect Resume Examples & Samples

  • Bachelor's degree or equivalent in Information Technology, Computer Sciences or Computer Engineering
  • 8 years IT experience
  • 2-5 years’ experience on Java/J2EE and understands OO concepts. (2-5 years)
  • Experience programing in SQL and Java to perform the data query, extract, transformation and load functions
  • Broad understanding of BI concepts, best practices and solutions
  • Deep knowledge around the selection and defining of appropriate data model strategies within traditional SQL as well as NoSQL technologies
  • Deep knowledge of core Hadoop components (HDFS, MapReduce, Hive, Hbase, YARN), and substantial awareness of other components in the Big Data stack
  • Experience architecting solutions for large data volumes (Terabytes of data) for complex reporting needs
  • Project Management experience with agile and project management methodologies (Scrum and/or Kanban)
  • Experience with the entire Software Development Lifecycle (SDLC)
  • Partner with Data Management Team leads to define the architectural vision and direction of a Big Data Ecosystem that may comprise of a mix of Big Data Storage system such as Hadoop for batch analytics, MPP based Analytical platforms for near-time analytics, and NoSQL databases for online application access
  • Drive use case analysis and architectural design around activities focused on determining how to best meet customer requirements within the tools of the ecosystem
  • Design, and develop automated test cases that verify solution feasibility and interoperability, including performance assessments
  • POC solution design and development
22

Senior Big Data Solution Architect Resume Examples & Samples

  • Document and understand business requirements, environment dependencies and integration points
  • Develop end to end architecture design on big data solution based on variety of business use cases
  • Lead end-to-end Hadoop implementation at large enterprise environment integrating with multiple legacy applications in heterogeneous technologies (Microsoft, Java, PowerBuilder, Oracle, SQL Server, Mainframe, GIS (Point Cloud), Sensors etc)
  • Will implement Hadoop ecosystem that will enable big data storage repository, data warehouse and data mart capabilities and business intelligence (BI) plus big data analytics
  • Present and persuade the design architecture to the various stakeholders (Customer, Server, Network, Security and other teams )
  • Provide technical leadership and governance of the big data team and the implementation of the solution architecture in following Hadoop ecosystem (Hadoop (HortonWorks), Map Reduce, Pig, Hive, HC Catelog, Tez, Spark, Pheonix, Presto, Hbase, Accumulo, Storm, Kafka, Flume, Falcon, Atlas, OoZie, Ambari, Hue, Security – Kerberos, Ranger, Knox, Oracle ASO, HDFS encryption, AD/LDAP, hosting platform - AWS)
  • Manage the architecture design changes due to the business requirement and other interface integration changes
  • Provide an overall architect responsibilities including roadmaps, leadership, planning, technical innovation, security, IT governance, etc
  • Design, Layout, and Deploy Hadoop clusters in the cloud using Hadoop ecosystem & open Source platforms
  • Configure and tune production and development Hadoop environments with the various intermixing Hadoop components
  • End-to-end system implementation including data security and privacy concerns
  • Design and implement geospatial big data ingestion, processing and delivery
  • Provide cloud-computing infrastructure solutions on Amazon Web Services (AWS - EC2, VPCs, S3, IAM)
  • Expertise on architecting end-to-end big data solution based on variety of business use cases
  • Experience in solutioning big data architecture to implement various business use cases around BI and analytics capabilities (source data - traditional data base systems, traffic sensor devices, HERE, INRIX, geospatial - Lidar/point cloud etc)
  • Past experience leading the implementation and operationalization of enterprise wide big data solution in a cross functional and cross technology/domain environment
  • Strong preference with expertise on administration, configuration management, monitoring, debugging, performance tuning, technical resolution on Hadoop applications suit (Hadoop platform, MapReduce, Hive, HBase, Spark, Flume, Oozie, Tez, Ambari, Kafka, Pig, Accumulo, Storm, Falcon, Atlas, Scoop, NFS, WebFDS, Hue, Knox, Ranger, Impala, ZooKeeper)
  • Database familiarity (Oracle, SQL Server, MySQL)
  • Knowledge and/or experience on Java, Linux, PHP, Ruby, Phyton and/or R, Informatica,Tableau
23

Big Data Solution Architect IT Architect Resume Examples & Samples

  • Preparing architecture blueprints, position papers, conducting market research and proof of concepts on emerging technologies
  • Research/analyze business requirements and recommend optimal solutions within technology architecture
  • 7+ years of experience in the design or development of data warehousing, reporting or analytics technology solutions
  • 2+ years of related experience in big data architecture
  • 2+ years of experience in the support of applications or infrastructure
  • Experience with performance tuning and optimization with the Hadoop stack
24

Big Data Solution Architect IT Architect Resume Examples & Samples

  • Able to manage effectively in a highly matrixed environment
  • Capable of grasping and challenging low level technical assumptions
  • Comfortable with exploring emerging tools and technologies in Data Warehousing and Big Data
  • Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business
  • Learn voraciously, stretch your thinking, share your knowledge and educate others
  • Communicate and collaborate with both technical and non-technical professionals
  • Cultivate winning relationships by building trust with business and technology partners
  • Share our commitment to productivity, effectiveness and operational efficiency
  • Embrace change and witness amazing things happen – from the inside
25

Big Data Solution Architect Resume Examples & Samples

  • Define data solutions for reporting and analytics and integration of data assets into transactional applications
  • Innovate new ways of managing, transforming and validating data
  • Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
  • Analyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget
  • Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages
  • Comfortable learning cutting edge technologies and applications to greenfield projects
  • 5+ years of solution architecture experience in the data space
  • 2+ Experience in a Big Data technology (Hadoop, YARN, Sqoop, Spark SQL, Nifi, Talend, Hive, Impala, etc.)
  • 3-5+ years of Experience in Java Development
  • 2+ years of Experience with Python is preferred
  • Experience performing data analytics on Hadoop-based platforms is preferred
  • Experience in writing SQL's
  • Experience in Map Reduce
  • Experience in implementing complex ETL transformations in Hadoop platform
  • Strong Experience with UNIX shell scripting to automate file preparation and database loads
  • Experience in implementing distributed and scalable algorithms (Hadoop, Spark) is a plus
  • Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc
  • Familiarity with NoSQL database platforms is a plus
  • Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus
  • Experience with multiple reporting tools (QlikView/QlikSense, Tableau, SSRS, SSAS, Cognos) is a plus
  • Strong development discipline and adherence to best practices and standards
  • Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations
  • Financial Services and Commercial banking experience is a plus
26

Big Data Solution Architect Resume Examples & Samples

  • Work closely with clients to translate complex business requirements into high-performance architectures and designs for big data solutions built around Pitney Bowes’ Address Quality, Data Quality, and Location Intelligence capabilities
  • Provide technical support and guidance to Sales, Marketing, and partners, including visits and presentations to prospective clients, RFP support, development of technical content, and industry conference presentations
  • Communicate solution requirements and provide technical leadership and support to the development team. Participate in development team planning and reviews
  • Monitor overall progress of solution development against delivery schedule, and oversee delivery and deployment of solution in client environment
  • Drive productization of reusable solution components in order to scale solution delivery
  • Stay current with emerging tools and technologies and recommend adoption that will provide competitive advantage and development/delivery efficiencies
  • Influence technology roadmap and help shape Pitney Bowes’ product strategy
  • Preferred Masters/ Bachelor’s Degree in Computer Science or related field
  • Consulting background with diverse client experience preferred
  • 10+ years’ experience in full stack software development, with 4+ years’ experience in a Solution or Technical Architect role designing and developing enterprise solutions
  • Experience in designing, developing, and delivering large-scale Big Data projects
  • Expert knowledge of architecture, data models, design patterns, and best practices for Big Data implementations
  • Hands-on experience with Hadoop Big Data tools/frameworks, such as Hive, Pig, Spark, HDFS, HBase, Kinesis, Oozie
  • Experience with Amazon EMR, Cloudera, and Hortonworks distributions
  • Strong cross-functional project management, collaboration, and stakeholder relationship skills
  • Demonstrated ability to communicate highly technical concepts in business terms and articulate business value of adopting Big Data technologies
  • Willingness and ability to travel up to 30%
27

Big Data Solution Architect Resume Examples & Samples

  • Frames architectural decisions and provide leadership and direction in the areas of technology and product
  • Defines overall solution, monitors and governs the implementation
  • Collaborates with business team to analyze the implementation of the use cases
  • Participates in the status review meeting with JCI and Capgemini
  • Deep experience on data architecture for Big Data, Business Data Lake, Data Integration, Cloud
  • You work as a stream lead at CIO/CTO level in major client organizations
  • You lead Capgemini operations relating to market development and/or service delivery excellence
  • Should be proficient in client acquisition & development and business leadership
  • Should be masters in Technology Awareness & Leveraging and Innovation & Capability Growth