Design and implement technical frameworks to support enterprise data governance, including metadata management, data lineage, data quality, and data classification.
Support the implementation and management of a common data model.
Collaborate with data engineering and platform teams to Integrate governance controls into data ingestion, transformation, and consumption pipelines.
Collaborate with data engineering to deploy automated data quality checks, monitoring, and issue remediation processes.
Support data ownership and stewardship models by providing tooling and technical enablement.
Collaborate with data architects, data engineers, security, privacy, and business stakeholders to ensure governance requirements are embedded into platform designs.
Support regulatory, compliance, privacy, and risk requirements (e.g., PII identification, retention, access controls).

Must have, at minimum, a Bachelor’s degree in computer science, Information Systems, Engineering, or related field with 5 years of relevant experience or a Master’s degree with 3 years of relevant experience.
Must have hands-on experience implementing data governance capabilities within modern data platforms such as Databricks, through Unity Catalog.
Must have strong SQL and Python skills and experience with cloud data platforms such as Databricks
Familiarity with data governance concepts including data ownership, stewardship, lineage, metadata, and data quality.
Experience integrating governance with CI/CD and DevOps practices.

Principal Data Governance Engineer

Key skills