Data Architect Informatique H/F

Data Architect with AWS Data Lake & Redshift – ContractResponsibilities (Services):

The contractor will be expected to provide the following services and deliverables:

• As a member of the Applied Architecture group and working for the Data Hub project as a Data Architect, provides data architecture direction and delivers required architectural artifacts;
• Works closely with various internal business and technical stakeholders to gather their input on data concepts and solutions;
• Works with the Business areas to understand their needs and translate those needs into the appropriate conceptual, logical and physical data models
• Implement the Data Assets in the Hub Data Lake/Warehouse environment (S3, Redshift, Redshift Spectrum, Glue, Athena, EMR) and Informatica Data Management platform (BDM, BDQ, EDC, Axon);
• Develop data architectural standards, design patterns and schemas and conduct reviews to ensure their implementation.
• Review existing data architectures, provide feedback and work on relevant Reference Architectures.
• Delivers data architecture solutions for various aspects such as data versioning, data integrations etc.
• Contribute to the development of the overall architecture of the Data Hub platform and supporting technologies including data management platforms, information access, and health information applications.
• Provide subject matter expertise and technical leadership on the data architecture discipline. Ensures that data solutions exhibit high levels of performance, consistency, security, scalability, redundancy, maintainability, appropriate reusability and reliability;
• Ensures interoperability, performance and scalability, reliability and availability, data consistency, cost effectiveness, and technological risks are all addressed in the data architecture;
• Support redesign and optimize Data Pipeline based on AWS Big Data technologies.
• Support Reference Implementation for optimized Data Pipeline
• Leverages Client strategic plan, goals, objectives, policies and procedures in creation of enterprise data architecture deliverables;

The Client’s Hub will implement an overarching architecture that holistically integrates, transforms and shares data. This architecture will address the Client’s current data management problems and has the following goals:

• Increase Client’s data handling capacity by orders of magnitude (provide more data to consumers)
• Make data accessible, shareable and understandable (democratize data and increase value extraction)
• Provide data security and data access auditing
• Support data governance (automated data quality, data transformation, data assets, etc.)
• Support standardization (data concepts, master data, aggregation, trending, etc.)
• Streamline and automate data flows and business processes
• Support remarkable customer experiences with Company data

The vision of a Data Hub is based on many years of Client experience combined with modern data management paradigms. Data Hub is an architectural ecosystem based on “Big Data”, Cloud and BI/Data visualization technologies that enables the Client to solidify its position in today’s data-first world.