Data Governance & Metadata Engineer

Job description

Key Responsibilities Metadata Engineering & Automation: - Model and document data structures, metadata relationships, and end‑to‑end lineage across data platforms (including lakehouse architectures). - Configure and maintain metadata workflows, connectors, and governance assets. - Build automations and integrations in Java and Python (strong pandas expertise required). - Integrate technical metadata from Databricks (Spark, Delta Lake, Unity Catalog) and Microsoft Purview into governance tools. - Operate and troubleshoot metadata services on Linux (logs, services, deployments). Data Governance: - Maintain data domains, dictionaries, glossaries, classification models, and stewardship structures. - Define and enforce metadata standards and data quality rules across analytical platforms. - Support impact analysis, remediation, and governance alignment for data products and lakehouse use cases. Collibra / Purview: - Maintain metadata, lineage, stewardship models, and workflows in Collibra . - Integrate Collibra with technical metadata sources (e.g. Databricks, Unity Catalog, Microsoft Purview, SQL engines ) via APIs, scanners, or pipelines. - Align governance models between Collibra and...