Data Governance & Enterprise Architect

Role: Data Governance & Enterprise ArchitectActivity rate:100%Our client is replacing its legacy core platform with a multi-cloud microservices architecture acrossAlibaba Cloud, Azure and AWS plus hybrid on-premise components. The consultant is embedded in the client’s delivery teams, and every implementation must comply with the programme’s ASPIC foundations - Architecture, Security, Privacy, Infrastructure and Cloud.Role overviewResponsible for ensuring that data is documented, stored, organised, integrated and accessed in line with defined policies and procedures across the programme’s solutions.ResponsabilitiesReview conceptual, logical and physical data models for programme solutions.Ensure diagrams representing the data landscape, data flows and data lifecycle are created and maintained in the Enterprise Architecture tool.Work with the Enterprise Architect to maintain enterprise data - data objects, interfaces, processes - in that tool.Ensure master data and reference data are used cohesively across solutions.Contribute to data governance policies and procedures - data quality, retention, metadata - and maintain related documentation.Collaborate with business stakeholders to document data in the data catalogue.Work with solution architects to ensure data solutions follow the client’s best practices and standards.Work with data analytics experts to support the design of robust analytics and data science solutions.Collaborate closely with Enterprise Architecture, Solution Architecture, Data Privacy, Data Analytics, and business relationship managers.Required ExpertiseProven experience in data management, governance and analytics.Hands-on experience with databases (SQL, NoSQL) and data warehouses / lakes - Snowflake, Fabric; a data catalogue or governance platform is a plus.Hands-on experience with an Enterprise Architecture tool - LeanIX would be a plus.Strong data modelling and analytical skills.Service-oriented mindset with strong problem-solving skills; business process analysis and modelling a plus.#J-*****-Ljbffr

Proven experience in data management, governance and analytics. Hands-on experience with databases (SQL, NoSQL) and data warehouses / lakes - Snowflake, Fabric; a data catalogue or governance platform is a plus. Hands-on experience with an Enterprise Architecture tool - LeanIX would be a plus. Strong data modelling and analytical skills. Service-oriented mindset with strong problem-solving skills; business process analysis and modelling a plus. #J-*****-Ljbffr