Data Governance Engineer

Lumenalta is a technology solutions company partnering with organizations to accelerate business growth. They are seeking an experienced Data Governance Engineer to establish enterprise-grade governance across a modern, multi-platform data ecosystem.

Responsibilities:

• Design and implement governance frameworks using Unity Catalog, including metadata management, data classification, and policy enforcement across the Databricks lakehouse
• Integrate Snowflake's Horizon catalog and the Elation standalone platform into the broader governance model, ensuring consistent policies across platforms
• Configure and maintain role-based access control (RBAC) across datasets, schemas, and compute resources in a multi-platform environment
• Implement row-level and column-level security to enforce fine-grained access controls aligned with business and regulatory requirements
• Build PII masking and data anonymization workflows to support privacy compliance across all platforms
• Define and maintain end-to-end data lineage tracking to provide visibility into data origin, transformations, and consumption
• Collaborate with legal, compliance, and security teams to align governance practices with regulatory frameworks such as GDPR, CCPA, and SOC 2

Requirements:

• 3–5+ years in data governance, data engineering, or data platform roles with a focus on access control and compliance
• Deep, hands-on experience configuring Databricks Unity Catalog for enterprise governance, including metastore setup and policy management
• Familiarity with Snowflake's Horizon data catalog and ability to align governance policies across Snowflake and Databricks environments
• Experience integrating governance across heterogeneous platforms, including custom or standalone data systems like Elation
• Deep understanding of RBAC and fine-grained security patterns (row/column-level) in modern data platforms
• Familiarity with PII handling, data masking techniques, and compliance frameworks (GDPR, CCPA, SOC 2, or similar)
• Experience with lineage tools or built-in platform capabilities to track and visualize data flows end-to-end