Data Governance Lead
Role Overview:
We are seeking an experienced and hands-on Data Governance Lead to drive the daily implementation, adoption, and operationalization of our data governance and metadata platform ecosystem—specifically leveraging DataHub or OpenMetadata. In this role, you will lead governance initiatives from the ground up, partnering with data engineering, analytics, and business stakeholders to embed automated data catalogs, column-level lineage, quality checks, and master data management (MDM) best practices into our daily workflows.
Key Responsibilities:
Platform Ownership & Configuration: Lead the day-to-day administration, configuration, and feature rollout of DataHub or OpenMetadata, ensuring seamless ingestion, indexing, and health of our enterprise metadata graph.
Lineage & Observability Operations: Implement and monitor automated column- and table-level lineage pipelines and proactive data observability frameworks across cloud data warehouses (Snowflake, BigQuery, Databricks) and transformation stacks (dbt, Airflow).
Master Data Management (MDM) Execution: Partner with data engineers to build and maintain multi-domain MDM logic (Customer, Product, Financial hierarchies), driving deduplication, matching, and survivorship rules.
Data Quality & Governance Workflows: Operationalize data quality assertions, profiling jobs, and automated data contracts, working closely with data stewards to establish clear business glossaries and ownership matrices.
Stakeholder Enablement & Adoption: Serve as the primary subject matter expert for metadata tooling, training technical and non-technical teams on data discovery, tagging, stewardship, and compliance.
Continuous Improvement: Streamline metadata ingestion pipelines using Python, REST APIs, and custom integrations to automate governance guardrails without slowing down engineering velocity.
Required Qualifications & Technical Skills
Experience: 6+ years of experience in data engineering, data governance, or analytics engineering, with at least 2–3 years in a technical lead or senior governance role.
Platform Expertise: Proven, hands-on implementation and operational experience with either DataHub or OpenMetadata (managing connectors, search indexes, and custom metadata models).
Modern Data Stack: Strong proficiency in SQL, Python, modern cloud data warehouses (Snowflake, BigQuery, Databricks), and orchestration/transformation tools (dbt, Airflow).
Lineage & Quality Tooling: Deep familiarity with data observability, data quality testing (Great Expectations, Soda, dbt tests), and automated lineage tracking.
MDM & Modeling: Solid understanding of dimensional modeling, master data management strategies, and data governance best practices.
Communication: Exceptional collaboration and leader
