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....