Implement and manage data governance frameworks using Databricks, PySpark, and SQL to support standardized data lineage, cataloging, and quality validation across domains.
Develop and automate governance processes to support compliance, data quality, and lifecycle management across multiple domains.
Collaborate with enterprise data, analytics, and business teams to define governance policies, business rules, and metadata standards aligned with strategic objectives.
Design Power BI dashboards and reporting solutions to monitor governance KPIs, data quality metrics, and data stewardship activities.
Enhance metadata visibility and traceability by integrating data catalogs and lineage tools across cloud and on-premises environments.
Contribute to data stewardship and policy enforcement initiatives, ensuring adherence to regulatory and internal data standards.
Participate in architecture and governance discussions to support data strategy, platform selection, and implementation best practices.
Certifications in Azure Fundamentals, Azure Data Fundamentals, Databricks, or Data Governance are an added advantage.
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