This role drives alignment between data governance, architecture, and engineering, ensuring that governance principles are built into the platform from day one
Job Summary
This role drives alignment between data governance, architecture, and engineering, ensuring that governance principles are built into the platform from day one.
You'll design and operationalise the governance framework (policies, standards, roles, stewardship) and work hands-on with the data platform team to implement practical controls and tooling such as dbt and Snowflake.
Partner with AI/ML teams to ensure data is structured, labelled, and enriched for use in large language models (LLMs), RAG systems, and generative AI applications.
Matching Summary
This role drives alignment between data governance, architecture, and engineering, ensuring that governance principles are built into the platform from day one.
Skills & Requirements
Must-have
Data governance framework for Snowflake
Implement practical controls and tooling
Design and operationalise governance framework
Data quality, lineage, and metadata
Access governance using dbt and Snowflake
Nice-to-have
Foster collaborative environment
Solution-orientated attitude
Mentor and peer coach
Champion strategic importance of data
Key Requirements
Proven experience designing and implementing data governance frameworks
Hands-on experience with dbt and Snowflake
Strong knowledge of modern data platform concepts
Understanding of metadata management, data lineage, data quality and stewardship practices
Familiarity with cloud ecosystems (AWS)
Excellent communication and stakeholder management skills
Ability to define governance metrics, KPIs, and reporting processes
Understanding of AI/ML data requirements
Knowledge of semantic data modelling, ontologies, taxonomies