Cloud Data Architect Resume Samples
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Cloud Data Architect Resume Samples
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60042 Verner Dale
New York
NY
+1 (555) 650 7311
60042 Verner Dale
New York
NY
Phone
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+1 (555) 650 7311
Experience
Experience
Houston, TX
Cloud Data Architect
Houston, TX
Hermann-Abbott
Houston, TX
Cloud Data Architect
- Support the platform development team and perform activities to resolve developer issues in a timely and accurate fashion
- Work as part of a team, to develop Cloud Data and Analytics solutions
- Architects solutions that deep telemetry capabilities to provide ongoing success and performance metrics
- Participates in cross functional teams in the design, development and build-out of solutions/service in a speed-to-market agile manner
- Familiarity with one or more Hadoop distributions (Cloudera, Hortonworks, MapR, HDInsight, EMR)
- Conducts research and makes recommendations on standards, products, and services in support of the Unified Commerce Platform
- Architects system configurations and baselines to support secure application development software control best practices and standards
Houston, TX
Cloud Data Architect Information Management & Analytics
Houston, TX
Harvey-Lynch
Houston, TX
Cloud Data Architect Information Management & Analytics
- Work as part of a team, to design and develop Cloud Data solutions
- Assist business development teams with pre-sales activities and RFPs
- Work as part of a team, to design and develop cloud data solutions
- Assist business development teams with pre-sales activities and RFPs, including helping estimate and plan projects
- Lead analysis, architecture, design, and development of data warehouse and business intelligence solutions
- Qualifications:Proficiency in SQL, NoSQL, and/or relational database design and development
- Hands-on development using and migrating data to cloud platforms
present
Los Angeles, CA
Principal Cloud Architect Software Defined Data Center
Los Angeles, CA
Orn, Hansen and Anderson
present
Los Angeles, CA
Principal Cloud Architect Software Defined Data Center
present
- Execute the duties and responsibilities as a senior member of the Enterprise Server Operations Center (ESOC) Design and Build Converged Engineering Team at the Department of State (DoS) Information Resources Management bureau
- Provide senior level engineering design and architecture support to provide enterprise-level solutions using physical and virtual networking technologies, server hosting, and storage solutions
- Domain knowledge and technical decision-making will have a critical impact on overall project implementation and execution
- Evaluates, designs, documents, installs, implements, tests, and performs problem isolation for Software Designed Data Center Infrastructure for converged technologies
- Define processes to maintain all ESOC Infrastructure devices and functions across physical media, Operating Systems, File Systems, protocol stacks & network components
- Plans; researches; evaluates and recommends new equipment and related technologies. Uses monitoring, performance analysis, network management, software and hardware equipment to troubleshoot and isolate problems; gauge performance and activity
- Develop and execute contingency plans for infrastructure related software/hardware failures including isolated and major outages
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
University of Arizona
Bachelor’s Degree in Computer Science
Skills
Skills
- Expert in leading large global data migrations and integration efforts
- Expert in leading technical migration, data integration and consolidation activities from traditional to cloud data structures
- Self motivated leader with forward-thinking visionary and entrepreneurial thinking to lead the change
- Be a Catalyst to bring people together for a common vision
- Strong documentation, analytical and problem-solving skills
- Have excellent interpersonal, verbal and written skills and the ability to interact with all level of stakeholders, support personnel, and clients
- Highly self-motivated and directed with an attention to detail
- 3+ years of progressive experience in Data Modeling, Data Architecture, or other work related to the construction of enterprise data assets
- Demonstrated knowledge and hands-on experience with Big Data platforms and software like Hadoop, Apache Spark, Cassandra, HBase, HDFS, Map-Reduce, Hive, PIG, MongoDB, Sqoop, Storm
- Demonstrated knowledge and hands-on experience with AWS solutions including S3, Kinesis, Lambda, EMR, DynamoDB, Redshift, Spark, RDS and frameworks such as Hortonworks and/or Cloudera
15 Cloud Data Architect resume templates
Read our complete resume writing guides
1
Cloud Data Center Solution Architect Resume Examples & Samples
- Understanding of Telco Enterprise Architecture
- Understanding of Cloud computing reference architectures
- Deep understanding and knowledge of OpenStack with hands-on experience
- Understanding of Software Defined Environment (SDE) concepts
- Understanding of Public Cloud Solutions and Hybrid clouds
- Data Center Expertize
- Infrastructure Competence: Understanding of Server, Storage and SAN/NAS
- Relevant Certifications
- Networking related certifications from popular Network Vendors like CCNA, CCNP, CompTIA Network+ etc
- Security and Compliance
- Knowledge of security tools and mechanisms for identification, authentication, authorization, encryption and validation security
- Hands-on experience of architecting and deploying any popular security solutions
2
Cloud Data Architect Resume Examples & Samples
- Communicates highly complex ideas and concepts to non-technical peers and customers
- Communicates clearly and concisely, both orally and in writing
- Ability to establish cross-functional, collaborative relationships with business and technology partners
- Work with all members of the engineering team to mentor and educate in the process of implementing solutions
- Prototype new solutions or technologies to demonstrate feasibility
- Own specific technology areas and be a subject matter expert in its relationships to and impacts on other parts of the platform
- Roll up sleeves and help the team with code reviews, monitoring platform stability, and troubleshooting technical issues encountered in production as needed
- Support the platform development team and perform activities to resolve developer issues in a timely and accurate fashion
- Ability to effectively manage and partner with technology vendors to deliver against business objectives
- Conducts research and makes recommendations on standards, products, and services in support of the Unified Commerce Platform
- Ensures database architectural solutions are stable, secure, and compliant with Company standards and practices
- Implements all technologies in accordance with Information Security's guiding principles for highly sensitive data
- Architects solutions that deep telemetry capabilities to provide ongoing success and performance metrics
- Is knowledgeable in Operational IT Management to include Change Management, Release Management, Incident Management, and Problem Management
- Architects solutions that monitors services across all platforms to ensure continuous availability and operational continuity of critical systems
- Upholds company policies, and legal/regulatory requirements, such as PCI
- Architects system configurations and baselines to support secure application development software control best practices and standards
- Understanding of Information Security with experience in the fields of network security, endpoint security, identity management, access control, cloud security and/or cryptography
- Demonstrated ability to work successfully in a fast-paced and cross-functional team environment
- Strong technical background and understanding in the areas of enterprise infrastructure and information security
- 7+ years of experience in system administration, and systems engineering
- 7+ years of proven database administration in large, scaling, highly available environments
- 7+ years architecting enterprise level database solutions
- 5+ years supporting Linux operating systems, both server and client
- 5+ years of experience supporting no SQL databases such (Cassandra, Mongo, ETC)
- 3+ years of experience auditing, alerting and remediating database activity monitoring and database firewalling solutions
- 3+ year of experience architecting and supporting big data clusters with spark or Hadoop
- 1+ years of experience with Infrastructure Automation tools
- 1+ years utilizing configuration management solutions as a system administrator
- Experience supporting LDAP services in an enterprise environment
3
Principal Cloud Architect Software Defined Data Center Resume Examples & Samples
- Execute the duties and responsibilities as a senior member of the Enterprise Server Operations Center (ESOC) Design and Build Converged Engineering Team at the Department of State (DoS) Information Resources Management bureau
- Provide senior level engineering design and architecture support to provide enterprise-level solutions using physical and virtual networking technologies, server hosting, and storage solutions
- Support the implementation of Hosted Services that utilize VMware systems solutions to connect services within the Data Center LAN as well as remote Data Centers for high availability and redundancy
- The senior engineer will have daily interactions with government clients related to meeting technical requirements for ESOC initiatives
- Domain knowledge and technical decision-making will have a critical impact on overall project implementation and execution
- Evaluates, designs, documents, installs, implements, tests, and performs problem isolation for Software Designed Data Center Infrastructure for converged technologies
- Work with infrastructure teams to satisfy day to day issues and requests. Participate in conference calls with client and assess their needs
- Knowledge of Data Center Architecture’s and designs for large scale Data Centers
- Knowledge and experience with Large Scale Storage Area Network Systems (Design, Build, Operate)
- Knowledge of IP Networking VPN’s, switching, and routing
- Knowledge of Software Defined Data Center (SDDC) concepts and principles
- Knowledge of Microsoft File Systems, Operating Systems and Applications
- Knowledge and experience with Microsoft OS and Wintel systems
- VMware: VCP 5+ Certified, working knowledge of SRM, VCOPS, SMVI, VCAC
- Networking: Design knowledge and experience with Cisco Network components (switches, routers), Certifications (i.e. CCNA-DC,CCNP,CISSP) CISCO training 7000/5000/1000
- Compute: Design knowledge of Cisco UCS technologies and HP blade technologies. Maintain server/blade hardware include failed component replacement
- Storage: Design knowledge of EMC Storage Area Network arrays and associated storage systems. Working knowledge with Recover Point, Viper, VCE vision
4
Informatica Big Data Cloud Architect Resume Examples & Samples
- Responsible for the architecting the entire Big Data Edition platform
- Develop and assist client with some use cases
- Coordinate with Cognizant off shore and onsite teams
- Drive architecture review discussions
- 7+ years of Informatica experience
- 2+ years of Big Data Edition experience
- Strong understanding of Informatica BDE server structure
- Knowledge of Big Data concepts (i.e. HDFS, Hive, Mongo, DB2, VIBE)
- Knowledge of Data Quality and Streaming of Data
- Ability to collaborate with stakeholders, business partners, and IT project team members
- Excellent written and oral communication skills
- 15+ years of overall IT experience
- 10+ years of Informatica experience
- 5+ years of Big Data Edition experience
5
Data Center & Cloud Architect Resume Examples & Samples
- You will be expected to conduct consultative engagements, in a lead consultant or team member role, with clients to ensure the delivery of data center and cloud infrastructure assessment services, including identifying business and technical requirements, and proposing solutions based on your interpretation of them
- We will rely on you to build and develop business cases based on such assessments and present and explain the value of proposed solutions or recommendations to clients in a consultative manner
- You will design solution architecture and multi-phased migration programs that address technology, people, organisation and process change among others
- You will ensure hand-over of engagement information and pull-through opportunities to internal stakeholders
- You will develop or support the development of standardized consultative engagement templates in response to reoccurring client needs. As owner of such you will be expected to maintain such engagement templates as well as developing sales enablement collateral, raise internal awareness of such engagements and proactively identify consulting opportunities in cooperation with the Sales teams
- We will need you to maintain broad based technical and solutions knowledge in key IT infrastructure optimisation and solution areas
- You will be required to drive profound understanding of solutions, best practices and consulting methodologies with clients and colleagues
- You may be called upon to mentor or coach other Dimension Data people such as other consultants, Professional Services, or Presales people
- You have minimum a Bachelor in ICT (Master strongly preferred) and relevant industry leader certifications such as Cisco, Microsoft, VMware, EMC. TOGAF and ITIL are considered a strong plus
- You have at least 10 years of experience in data center solutions or related business
- You have strong operational foundation and consulting experience
- You have strong knowledge of industry technologies and willingness to further maintain and broaden this knowledge
- French or Dutch is your mother tongue and you have good verbal and written knowledge of the other language as well as English
6
Cloud Data Architect Resume Examples & Samples
- Define Cloud Data strategy, including designing multi-phased implementation roadmaps
- Work as part of a team, to design and develop Cloud Data solutions
- Lead analysis, architecture, design, and development of data warehouse and business intelligence solutions
- Mentor other team members
- Help estimate and plan projects
- 5+ years of data architecture, business intelligence and/or consulting experience
- MS, or equivalent, in Math, Computer Science or an applied quantitative field
7
Cloud Data Architect Information Management & Analytics Resume Examples & Samples
- Define Cloud Data strategy, including designing multi-phased implementation roadmap
- Data wrangling of heterogeneous data and explore and discover new insights
- Actively contribute to the Cloud and Big Data community at Slalom, and drive new capabilities forward
- Proficiency in SQL, NoSQL, and/or relational database design and development
- Hands-on development experience using and migrating data to cloud platforms
- Experience and even certification on any of the cloud platforms (AWS/Azure)
- Experience with data mining techniques and working with data intensive applications
- Proven analytical approach to problem-solving; ability to use technology to solve business problems
- Experience in languages such as Python, Java, Scala, and Go
- Linux and Windows proficiency
- Willingness to travel up to 50%, at peak times of projects
- Experience working with various verticals (e.g., insurance, utilities, manufacturing, financial services, technology)
8
Cloud Data Architect Information Management & Analytics Resume Examples & Samples
- Lead analysis, architecture, design, and development of cloud data warehouse and business intelligence solutions
- Define cloud data strategy, including designing multi-phased implementation roadmaps
- Proficiency and hands-on experience with big data technologies
- Experience on any of the cloud platforms (Amazon Web Services, Azure, and Google Cloud)
- Hands-on development using and migrating data to cloud platforms
- Experience in languages such as Python, Java, Scala, and/or Go
- Proficiency with both Linux and Windows
- Analytical approach to problem-solving; ability to use technology to solve business problems
- Cloud platform certification(s) (example: AWS Certified Solutions Architect)
- Experience with data mining techniques and working with data-intensive applications
9
Cloud Data Architect Resume Examples & Samples
- Work as part of a team, to develop Cloud Data and Analytics solutions
- Participate in development of cloud data warehouses and business intelligence solutions
- Assist in the definition of cloud data strategies, including designing multi-phased implementation roadmaps
- Gain hands-on experience with new data platforms and programming languages (e.g. Python, Hive, Spark)
- Assist business development teams with pre-sales activities and RFPs, including helping estimate and plan projects
- 3+ years of related work experience in Data Engineering or Data Warehousing
- Hands-on experience with leading commercial Cloud platforms, including AWS, Azure, and Google
- Proficient in building and maintaining ETL jobs (Informatica, SSIS, Alteryx, Talend, Pentaho, etc.)
- Proficient in SQL
- Proficient in a source code control system, such as Git
- Proficient in the Linux shell, including utilities such as SSH
- Proven experience with data warehousing, data ingestion, and data profiling
- Understanding of Agile project approaches and methodologies
- Familiarity with one or more Hadoop distributions (Cloudera, Hortonworks, MapR, HDInsight, EMR)
- Strong aptitude for learning new technologies and analytics techniques
- Highly self-motivated and able to work independently as well as in a team environment
- Familiarity with Microsoft Azure Cloud, HDInsight, PowerBI and/or AWS equivalents
- Familiarity with enterprise Business Intelligence reporting tools (e.g., Tableau, QlikView, PowerBI)
- Proficient in Python and/or Java
- Familiarity or strong desire to learn quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression)
- Implementing analytics solutions with Hadoop
10
Cloud Data Architect Resume Examples & Samples
- Minimum of 4 years’ experience working as a data architect/modeler and/or business intelligence designer utilizing a set of frameworks, methods and techniques to develop complex data models in support of business requirements
- Experience in Erwin or ER Studio data modeling tools, (ER Studio Preferred)
- Understanding of the system development life cycle; software project management approaches; and requirements, design, and test techniques
- Domain knowledge of Salesforce Data Models, Infor, Oracle EBS, Data Warehousing (Kimbal), MDM, is a strong plus
- Highly self-motivated and directed with an attention to detail
11
Cloud Architect, Big Data Resume Examples & Samples
- Expertise - Collaborate with AWS field business development, marketing, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Map Reduce (EMR), Amazon Redshift, , Amazon DynamoDB/RDS databases, AWS Identity and Access Management (IAM), etc
- Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development
- Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Experience with tools such as Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, and Avro
- Familiarity with SQL-on-Hadoop technologies such as Hive, Pig, Impala, Spark SQL, and/or Presto
- Proven experience in large scale data warehouse migrations
12
Cloud Data Architect Resume Examples & Samples
- Design, construct, and manage the Amazon Web Services data lake environment including the data ingestion, staging, data quality monitoring, and business modeling
- Drive the collection, cleansing, processing, and analysis of new and existing data sources, including the oversight for defining and reporting data quality and consistency metrics
- Develop innovative solutions to complex Big Data projects
- Develop, document and implement best practices for Big Data solutions and services
- Learn & stay current on Big Data & Internet of Things developments, news, opportunities, and challenges
- Bachelors Degree in Computer Sciences or a relevant technical field, advanced degree preferred
- 3+ years of progressive experience in Data Modeling, Data Architecture, or other work related to the construction of enterprise data assets
- 1+ years of experience in designing and developing cloud based solutions (preferably through AWS)
- Demonstrated knowledge and hands-on experience with Big Data platforms and software like Hadoop, Apache Spark, Cassandra, HBase, HDFS, Map-Reduce, Hive, PIG, MongoDB, Sqoop, Storm
- Demonstrated knowledge and hands-on experience with AWS solutions including S3, Kinesis, Lambda, EMR, DynamoDB, Redshift, Spark, RDS and frameworks such as Hortonworks and/or Cloudera
- Hands-on experience working with large complex data sets, real-time/near real-time analytics, and distributed big data platforms
- Strong programming skills. Experience with and the ability to troubleshoot and tune relevant programming languages like Python, SQL, Java/Scala/Ruby, R, PIG Latin, HiveQL & MapReduce
- Understanding of major RDBMS systems like Oracle, SQL Server, DB2, & Sybase
- Solid understanding of ETL architectures, data movement technologies, database partitioning, database optimization, and building communication channels between structured and unstructured databases
- Experience with techniques for Parallel & Distributed computing for Big Data, such as MapReduce Framework, Hadoop, YARN
- Knowledge of data management including data warehousing & statistical modeling
- A strong understanding of data profiling and data cleansing techniques
- Proven track record driving rapid prototyping and designs for projects and analytic R&D environments
- Experience in multidimensional data modeling, such as star schemas, snowflakes, normalized and de-normalized models, handling slowly changing dimensions/attributes
- Strong analytical and problem-solving skills with proven communication and consensus building abilities
- Proven skills to work effectively across internal functional areas in ambiguous situations
13
Cloud Data Architect Resume Examples & Samples
- Bachelor’s degree or higher in a science or engineering discipline from an accredited university
- Minimum of three (3) years of combined experience in database design, development and/or commercialization
- Master’s degree or higher in Computer Science or Software Engineering from an accredited university
- Minimum of five (5) years of experience with multiple key RDBMS platforms and related tools such as SQL Server or Oracle and Cloud-based platforms such as Microsoft Azure and Amazon AWS
- Ability to demonstrate experience with database technology trends and platforms, such as: Azure and Amazon data related technologies
- Acts as the Database Architecture Leader providing direction across multiple applications
- Strong client facing skills – presentation, facilitation, written and verbal communications
- Strong problem identification and problem solving skills
- Must have the ability to structure deliverables to maximize reuse where applicable
- Ability to participate in the development of project plans including estimates for the entire life cycle of the project
- System performance analysis and capacity planning
- Strong time management skills; ability to work through issues and prioritize multiple time demands
- Self-motivated and self-directed, with strong hands-on work ethics, can-do attitude, and excellent communication and interpersonal skills
- Ability to operate effectively in larger, highly cross-functional team
- Demonstrated ability to “think outside the box”
- Experience working independently in a consultative manner to develop database solutions
14
Cloud / Data Center Solution Architect Resume Examples & Samples
- Expert level knowledge of Cisco and Juniper technologies, including Routing/Switching, Firewalls and Load Balancing solutions
- Expert level knowledge of Layer 2 technologies, including Spanning-Tree, VLANs, VTP, UDLD, VDC, and CDP
- Expert knowledge of Layer 3 technologies, including IPv4, BGP, EIGRP, OSPF, IPv6, HSRP, and VRRP
- Balanced and pragmatic contributory approach to long-term vision, and incrementally phased way-ahead
- Experience with medium to complex costing and proposal response
- Experience with collateral authoring
- Experience with internal and external documentation written to varying levels of business and technical oriented audiences
- LI-JH1
- Undergraduate Degree in Engineering, Computer Science, or similar, or 12+ years experience in related discipline
15
Big Data, AWS Cloud Architect Resume Examples & Samples
- UG - B.Tech/B.E. OR PG – M.S. / M.Tech REC or above
- Familiar with AWS Simple Calculator for estimating costs and factors that impact cost control factors
- Minimum 6+ years of good hand-on experience with AWS foundation services related to compute, network, content delivery, administration and security, deployment and management, automation technologies
- Experience with developing, building and operating sophisticated and highly automated Cloud infrastructure (AWS, Docker, Openstack, VMware, or Rackspace) a must
- Prior success in automating a real-world production environment a must
- Familiarity with AWS Cloud Formation, Opswork, Elastic Beanstalk, Code Deploy/, Pipeline/Commit, Openstack Heat, Cloudify or/and DSL such as YAML JSON required
- 5+ year development experience with continuous integration (CI/CD) and automation tools such as GIT/SVN, Jenkins, Chef, Ansible, Puppet
- Prior development experience with Linux Container (LXC, Docker or CoreOS Rocket), Virtualization technologies (KVM, XEN) on Linux (Ubuntu or Redhat preferably)
- 5+ year hands on experience to build and develop Microservices based and IaaS infrastructure with prior experience in AWS CodeDeploy, Docker Swarm, Kuberentes and Mesos
- Experienced in building scalable applications (12-factor, micro-services, immutable production)
- Cloud monitoring implementation and strategy (icinga, zabbix, nagios, sense, graphite, splunk, elastic search
- Exposure to automated testing tools (BDD, TDD) and Service-Oriented Architecture (SOA, REST)
- Strong programming/script skill in Python, Perl, Ruby shell, Node.js and knowledge of OOP design patterns
- Familiar with deployment patterns/strategy (blue/green, canary, rolling, draining)
- Have R&D experience especially in building R&D tool environment in cloud computing environment is a plus
- BA/BS degree or equivalent experience; Computer Science or Math background preferred
- Strong verbal and written communication skills, with ability to work effectively across organizations
16
Cloud Data Solutions Architect Resume Examples & Samples
- Interface with Microsoft and partner sales/delivery teams to drive consumption of Azure data and analytics services, including SQL Database, CosmosDB, SQL Data Warehouse, HD Insight, Machine Learning, Stream Analytics, Data Factory, Event Hubs and Notification Hubs
- Drive the quality of the onboarding plan (with Microsoft Consulting Services or partners)
- Report on progress of customer as business objectives
- Ensure plan execution by Partners
- 5+ years of experience with deep understanding in databases and analytics, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark), noSQL, and business analytics
- 5+ years of success in consultative/complex technical sales and deployment projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)
- Understanding of big data use-cases and Hadoop-based design patterns
- Knowledge of real time/stream analytics
17
Cloud Data Solutions Architect Resume Examples & Samples
- 10+ years’ experience as Data Architect
- Extensive experience with different data modeling methods and tools
- Experience implementing Amazon Web Services Cloud Data Solutions and setting up best practices for AWS Cloud Data Products
- Computer Science or related undergrad
- Experience working in a Scrum/Agile environment
- Strong Understanding Amazon Web Services with a focus on Data Stores and
18
Data / Cloud Architect Resume Examples & Samples
- Develop customers To-Be Cloud Architecture in AWS / C2S, leveraging a services based architecture and Big Data technologies/solutions leveraging Hadoop and other Big Data Technologies
- Evaluate existing IT systems (Oracle, Mark Logic) and provide recommendations for To-Be architecture compliance/evolution, including specific recommendations for implementation within AWS
- Provides technical advice and guidance to senior managers regarding the creation and implementation of new data standards and data storage capabilities
- Experience in executing multiple data storage, data management, and data transfer technologies such as Hadoop, NoSQL, SQL, XML and JSON
- Development of Investment Business Cases and Acquistion work products for new capabilities and enhancements to be implemented, including Mission CONOPs development, technical requirements development, and development of cost estimates
- Prepare technical implementation road maps to support the evolution of existing capabilities to the To-Be architecture, including leveraging AWS / C2S specific services to implement the To Be architecture
- Provide support to update both To-Be, As-Is, and Technical Roadmaps as the architecture is implemented
- Hadoop/No SQL or related Big Data experience
- Experience with AWS - architecture (AWS Architecture Certification); use of EMR and other Big Data Technologies in the AWS environment
- Experience in executing a multi-layer architectures
- Experience with Oracle or MarkLogic COTS software products
- Experience across numerous engineering disciplines
- Experience with Customer's environment and its Partners systems
19
Azure Cloud Data Architect Resume Examples & Samples
- Work as part of a team, to design and develop cloud data solutions
- Actively contribute to the Modern Data Architecture community at Slalom, and drive new capability forward
- Assist business development teams with pre-sales activities from a technical perspective
- Hands-on development experience in Microsoft Azure
- Experience designing, deploying, and administering scalable, available, and fault tolerant systems on Azure Services (PaaS)
- Experience with SQL Data Warehouse, Azure Data Lakes, Azure Data Factory, HD Insight
- Proficiency in data modeling and design/development in SQL and NoSQL
- Passionate about learning new technologies
- Hands-on development experience using open source big data components such as Hadoop, Hive, Pig, HBase, Flume, Mahout, Sqoop, and Presto
- Experience in languages such as Python, C#, java, etc
- Microsoft Azure certified
- 7+ years of data architecture, business intelligence and/or consulting experience
- Bachelor Degree or equivalent, in Computer Science or a related field
- AWS experience is a plus
- Azure Machine Learning
20
Cloud Data Architect Information Management & Analytics Resume Examples & Samples
- Responsibilities:Define Cloud Data strategy, including designing multi-phased implementation roadmap
- Qualifications:Proficiency in SQL, NoSQL, and/or relational database design and development
- Preferred Experience:5+ years of data architecture, business intelligence and/or consulting experience
