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Tier-1 brand, metro location and popular data title, but niche governance tooling limits talent density.
Specialized Azure/Databricks governance skills transferable across industries but require compliance-domain experience.
Explicit 8-14 years and mandatory Azure Purview, Databricks Unity Catalog, and PySpark skills enforce strict filters.
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Lead design and implementation of enterprise-wide data governance frameworks and solutions in Azure ecosystem.
Manage data cataloging, lineage, classification, access controls, and compliance using Azure Purview and Databricks Unity Catalog.
Develop, automate, and monitor data quality, validation, and governance workflows with PySpark, Python, SQL on Azure Databricks; collaborate cross-functionally on governance adherence and compliance.
8-14 years of experience in data governance, data management, or data engineering within Azure environments.
Bachelor's or Master's degree in Computer Science, Engineering, or related field with 60%+ marks.
Hands-on expertise with Azure Purview and Databricks Unity Catalog for data cataloging, metadata management, and access control.
Experience with PySpark, Python, SQL on Azure Databricks; exposure to Databricks Genie or similar orchestration tools.
Proven ability to operationalize data governance policies and embed governance in cloud data pipelines within large enterprises.
Experienced in collaborating with data stewards, security, compliance, and business teams to align governance and regulatory frameworks (e.g., GDPR, HIPAA).
Strong technical hands-on background combined with understanding of data privacy regulations, compliance frameworks, and cloud data governance best practices.