Jobs → Data & Analytics → Databricks Governance Engineer

About the Role We are looking for a skilled Databricks Governance Engineer to support enterprise data governance, metadata management, data quality, and reconciliation initiatives across cloud platforms and enterprise data environments. Key Responsibilities • Discover, profile, onboard, and catalog enterprise data assets across databases, data lakes, and AWS S3. • Perform data profiling, reconciliation, and quality assessments to identify inconsistencies and anomalies. • Develop SQL-based queries and frameworks for record-level, attribute-level, and aggregate-level reconciliation. • Support metadata management, data classification, lineage, stewardship, ownership, and business glossary initiatives. • Work with Databricks, Collibra, Pentaho, and related tools to improve data cataloging and governance. • Support automated metadata scanning, lineage tracking, and data classification. • Analyze schemas, tables, files, and pipelines to identify data quality and governance gaps. • Collaborate with data engineers, architects, data owners, stewards, and business stakeholders to resolve data issues. Requirements • Strong SQL and data reconciliation expertise • Hands-on experience with data governance, metadata management, and data quality • Experience with Databricks or similar lakehouse platforms • Experience with Collibra or comparable data catalog and governance tools • Working knowledge of AWS, especially Amazon S3 • Understanding of data lineage, classification, stewardship, ownership, and business glossaries • Strong analytical, problem-solving, documentation, and communication skills