Job Description

We are looking for a Data Catalog Engineer with hands-on experience in implementing and managing Databricks Unity Catalog. The ideal candidate will be skilled in configuring catalog objects, automating governance policies, and integrating metadata with data pipelines. This role plays a key part in ensuring data discoverability, governance, lineage, and compliance across the organization.
Key Responsibilities
Unity Catalog Implementation: Configure and manage Unity Catalog objects including metastores, catalogs, schemas, tables, views, and volumes in Databricks.
Access & Security: Develop and automate RBAC/ABAC policies, data masking, and access controls for secure data usage.
Data Asset Onboarding: Onboard and register data assets from multiple sources with consistent metadata standards.
Lineage & Integration: Build and maintain data lineage pipelines and ensure catalog integration with ETL/ELT processes.
Governance Tools: Collaborate on metadata and governance initiatives using tools like Microsoft Purview or equivalent.
Compliance: Support data privacy and compliance requirements including HIPAA, GDPR, and CCPA.
Key Skills & Experience
4+ years of experience in data engineering, data governance, or metadata management.
Hands-on expertise with Databricks Unity Catalog.
Strong knowledge of RBAC/ABAC, access controls, and data masking techniques.
Experience integrating data catalogs with ETL/ELT pipelines.
Familiarity with data governance frameworks and tools such as Microsoft Purview.
Understanding of data privacy regulations (HIPAA, GDPR, CCPA).
Solid skills in SQL, Python, or PySpark for data engineering and automation.
Why Join Us?
Opportunity to work at the forefront of data governance and catalog engineering.
Gain hands-on expertise with Databricks Unity Catalog and modern governance tools.
Play a critical role in building a trusted enterprise data ecosystem.
Competitive salary and career growth opportunities.

Skills Required