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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of enterprise-wide data governance frameworks using Azure Purview and Databricks Unity Catalog.
Develop and maintain data quality, access controls, validation frameworks, and compliance monitoring within Azure Databricks using PySpark, Python, and SQL.
Collaborate with cross-functional teams to enforce data governance policies, automate workflows with Databricks Genie, and create governance metrics dashboards.
Minimum Requirements
8-14 years of experience in data governance, data management, or data engineering in Azure environments.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with 60% above.
Hands-on experience with Azure Purview, Databricks Unity Catalog, PySpark, Python, and SQL on Azure Databricks.
Exposure to Databricks Genie or similar orchestration tools.
Ideal Candidate Profile
Experienced in integrating data governance tools within cloud ecosystems, especially Azure-based platforms.
Proficient in collaborating across business, security, and compliance teams to enforce data governance at enterprise scale.
Skilled in automating data governance processes and monitoring regulatory compliance through advanced cloud and orchestration tools.
