Data Governance Application Architect

• 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

• Python
• Pyspark
• SQL
• Databricks
• Powerbi
• Exp 5-10 Years
• Certifications in Azure Fundamentals, Azure Data Fundamentals, Databricks, or Data Governance are an added advantage

Certifications in Azure Fundamentals, Azure Data Fundamentals, Databricks, or Data Governance are an added advantage