Full-time Posted June 06, 2026
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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....
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