Sr. Data Architect
Data Architect (Bigdata, ETL)
Rates are open
Full Time or Contract
Sr. Data Architect
Assess, Define, Refine Data Strategy and Data Architecture for application, projects and for enterprise.
Define, refine data architecture, Data Standards, Data Security & amp;policies, relevant technology , data architecture process.
Perform benefit analysis of solution options, tools and technology in data space.
Socialize the data solution architecture with the stakeholders
Perform oversight data architect role, ensure compliance and adherence to standards and policies
Define and review Data Standards, Architecture design principle and processes
Own, Lead and implement data architecture governance
Determine and Understand the data requirements and NFRs at project, programs and enterprise levels
Identify, define and Analyze Data and Data Solution Architecture
Design, Develop, review, maintain, manage logical and physical data models,
Maintain and contribute towards business data glossary and enterprise data model with relevant stakeholders.
Ensure models meet the performance, scalability, availability and security needs
Solution, Design and Develop Data Migration and Integration approach
Build and maintain data architecture components
Define data quality standards and Data Quality Metrics
Model and Design building blocks for data solution
Guide Developers perform review of work products and provide oversight
Lean Data Governance, Metadata Management, Master Data Management and Data Lineage
Be accountable for the architectural (data) integrity of the project
Provide hands-on technical direction to other developers to review data model, ETL and resolve issues
Take part in reviewing, designing, and trouble-shooting project technical architecture, designs, common components, and code
Skills: Data / Database Architecture, Data Modeling, Data Quality Management, Data Migration, Data Integration, Change Data Capture, ETL, Architecting Data, Big Data, Streaming platforms.
Tools & Technology: Data Modeling Tools (Erwin etc.), RDBMS, NoSQL, Bigdata Platform (Hadoop Eco system components and programming), ETL (Informatica etc.), Data pipeline etc.
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