Data Governance Engineer

• Maintain and enhance metadata management initiatives, including column-level tagging, dataset documentation, and ownership attribution.
• Contribute to data lineage and governance practices to improve audit readiness, visibility, and compliance across pipelines.
• Support Airflow DAGs and CI/CD workflows, including pipeline updates, operational fixes, and automation tasks.
• Improve data pipeline reliability and consistency in partnership with senior engineers.
• Automate reporting and dashboards to enable self-serve analytics for internal teams.
• Promote adoption of data governance standards, processes, and tooling across teams.
• Assist internal stakeholders with ad-hoc data questions, process improvements, and platform enhancements.

Requirements:2+ years of experience in data governance, data engineering, analytics engineering, or related technical roles.Hands-on experience with metadata management, data lineage (dataset- and column-level), and data catalog tools (e.g., DataHub or equivalent).Strong Python skills for automation, metadata ingestion, and governance tooling.Proficient in SQL for data discovery, validation, and auditing support.Familiarity with Airflow or similar workflow orchestration in a support or operational role.Understanding of end-to-end data pipelines, including dependencies and quality considerations.Experience supporting governance initiatives such as documentation standards, ownership models, or data quality practices.Problem-solving mindset with curiosity and a willingness to grow in a fast-moving data platform environment.Experience with dashboards or BI tools (Looker, QuickSight, Tableau) is a plus.Benefits:Competitive compensation aligned with experience and market standards.Fully