Sr. Data Architect

City: Montréal, Québec


Data Architect (Bigdata, ETL)

Location: Montreal

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.




647 558 1047

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