The role is responsible for ensuring the integrity, governance, and efficient operation of the enterprise data platform. This includes leading the Data Review Meeting (DRM) process, defining data modelling and cataloguing standards, and serving as a key subject matter expert across core platform technologies such as Snowflake, AWS, and Glue. The position provides strategic oversight for project data assessments, ensuring data quality and alignment with platform principles. It also involves close collaboration with vendor teams to guide work execution and drive initiatives in line with leadership priorities. Additionally, the role supports infrastructure provisioning to enable a scalable, reliable, and high-performing data platform.
Key Responsibilities
- Oversee and manage the Data Resource Management (DRM) process to ensure accuracy, consistency, and governance across the platform.
- Lead data modelling and data cataloguing activities, establishing and maintaining standards and best practices.
- Serve as a Subject Matter Expert for the Data Platform ecosystem, including Snowflake, AWS, Glue, and related technologies.
- Conduct data assessments for projects, providing guidance on data quality, readiness, and platform alignment.
- Collaborate closely with vendor teams, including setting work direction, guiding initiatives, and ensuring alignment with leadership priorities.
- Contribute to infrastructure provisioning activities to support platform stability, scalability, and performance.
Skills and Qualifications:
- Design logical and physical models across multiple Data Warehouses.
- Organize working sessions with business operations team to understand sources of data and expected output.
- Experienced in database technologies, data design and performance optimization for large OLAP & Data Warehouse solutions.
- Working knowledge on ETL tools like Talend is preferred.
- Experienced in building data Ingestion & data engineering work flows preferred
- Experienced in driving data design and end to end processing
- Expert in relational and dimensional structures for large (multi-terabyte) operational, analytical, warehouse and BI systems.
- Skilled and understands data profiling, business domain modelling, logical data modelling, physical dimensional data modelling and design.
- Experience with data modeling concepts (conceptual/logical/physical/semantic, multi-dimensional models(star, snowflake), normalized/denormalized models)
- Experience with understanding data - profile and analysis (metadata(formats, definitions, valid values, boundaries), relationship/usage)
- Experience with data mapping (ETL data mapping with defined technical and business rules. Complex logic, not only 1:1 data mapping)
- Strong skills in Entity Relationship Modelling (ERWin modelling software preferred)
- Excellent written and verbal communication skills with strong relationship building skills.
- Ability to work in a large, complex business and technical environment.
- Experience with Automotive domain is preferable.
- Experience with Erwin or similar data modelling tool, strong Snowflake/SQL expertise
Key Technology AWS Data Services (e.g. Glue), Snowflake, AWS Cloud Services
