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Tier-1 brand, popular data engineer title, and metro location increase applicant competition.
Strong requirement for Azure Purview and Databricks governance experience limits cross-industry transferability.
Explicit 8-14 years plus mandatory Azure Purview, Databricks Unity Catalog, and PySpark skills create strict filters.
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Lead design and implementation of enterprise data governance frameworks using Azure Purview and Databricks Unity Catalog.
Develop and maintain data quality, validation, access controls, and compliance monitoring within Azure Databricks using PySpark, Python, and SQL.
Collaborate with cross-functional teams to ensure data security, compliance (e.g., GDPR, HIPAA), and governance across data assets, including use of orchestration tools like Databricks Genie.
8-14 years of experience in data governance, data management, or data engineering in Azure-based environments.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or related discipline with 60% or above.
Strong hands-on expertise with Azure Purview and Databricks Unity Catalog for data cataloging, metadata management, access control, and policy enforcement.
Proficiency in PySpark, Python, and SQL within Azure Databricks; experience with Databricks Genie or similar orchestration tools is a plus.
Experienced in implementing and operationalizing scalable data governance solutions in cloud ecosystems, particularly Azure.
Able to work effectively across data engineering, security, compliance, and business teams to embed governance into workflows and maintain regulatory compliance.
Comfortable with hands-on technical development combined with strategic policy enforcement and training to enhance data governance literacy.