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Databricks Governance Engineer ( Exp-10 Y)-Full Time-Onsite

Visionary Innovative Technology SolutionsAlpharetta, GA🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape data governance and security strategies at a leading technology firm, leveraging your extensive Databricks and Unity Catalog expertise. If you excel in implementing robust data access controls and compliance frameworks, you'll thrive in this impactful position. Apply now to advance your career in a dynamic and collaborative environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Alpharetta, GA, United States
Posted
23 hours ago
Unity

Job Description

We are looking for an experienced Databricks Governance Engineer to implement and manage data governance, security, access controls, and compliance across Databricks and cloud-based data platforms. The ideal candidate should have strong expertise in Unity Catalog, data lineage, governance policies, and data security.

Key Responsibilities

  • Design and implement data governance frameworks within Databricks.

  • Configure and manage Unity Catalog, including catalogs, schemas, tables, and permissions.

  • Implement role-based access control (RBAC), data masking, and row/column-level security.

  • Establish data lineage, metadata management, and data classification standards.

  • Develop governance policies to ensure data quality, privacy, and regulatory compliance.

  • Manage secure access to data across workspaces and cloud storage.

  • Monitor audit logs, access activities, and governance violations.

  • Collaborate with Data Engineers, Architects, Security, and Compliance teams.

  • Automate governance processes using Python, SQL, and Databricks workflows.

  • Support governance standards across data lakes, lakehouses, and data pipelines.

Required Skills

  • 10+ years of experience in Data Engineering, Data Governance, or Data Platform Engineering.

  • Strong hands-on experience with Databricks and Unity Catalog.

  • Expertise in data access controls, RBAC, data lineage, and metadata management.

  • Strong knowledge of PySpark, Python, and SQL.

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.

  • Understanding of data security, privacy, auditing, and compliance frameworks.

  • Experience with Git, CI/CD, and infrastructure automation.

  • Strong analytical, troubleshooting, and communication skills.

Good to Have

  • Experience with Delta Lake, Unity Catalog system tables, and Lakehouse architecture.

  • Knowledge of Azure Purview/Microsoft Purview or other data catalog tools.

  • Experience with Terraform and automated policy deployment.

  • Familiarity with regulatory standards such as GDPR, HIPAA, or SOC 2.

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