Job Responsibilities

• Design and build data governance solutions including lineage tracking, metadata management, and data quality controls
• Develop automated systems for tracking data provenance and data auditing across our data landscape
• Build data quality monitoring tools and remediation processes for large, messy datasets
• Create and maintain technical documentation for data assets, processes, and governance rules
• Implement and configure data catalog solutions to improve data discovery and understanding
• Write code to automate governance workflows and integrate governance into existing data pipelines
• Collaborate with data engineering and analytics teams to embed governance into daily operations
• Communicate changes and rationale to internal stakeholders including site leads and general managers

BASIC QUALIFICATIONS:

• 5+ years of hands-on experience implementing technical data governance solutions
• Strong programming skills in Python, SQL, and other data technologies
• Demonstrated experience cleaning and organizing large, messy datasets
• Practical knowledge of data lineage tracking and implementation
• Experience working with data warehouses, data lakes, and modern data architectures
• Track record of building (not just planning) data quality frameworks
• Strong documentation skills with examples of technical processes you’ve documented
• Experience implementing metadata management systems or data catalogs

PREFERRED QUALIFICATIONS:

• Experience in regulated industries with complex data requirements
• Knowledge of cloud data platforms like Databricks/Unity Catalog or AWS data services
• Experience building data lineage solutions from scratch when commercial tools were insufficient
• Background in industries with particularly complex or messy data challenges
• Ability to show examples of governance systems you’ve personally built

• Design and build data governance solutions including lineage tracking, metadata management, and data quality controls
• Develop automated systems for tracking data provenance and data auditing across our data landscape
• Build data quality monitoring tools and remediation processes for large, messy datasets
• Create and maintain technical documentation for data assets, processes, and governance rules
• Implement and configure data catalog solutions to improve data discovery and understanding
• Write code to automate governance workflows and integrate governance into existing data pipelines
• Collaborate with data engineering and analytics teams to embed governance into daily operations
• Communicate changes and rationale to internal stakeholders including site leads and general manager