Databricks Data Governance Lead

Required Skills & Experience

8+ years in data architecture, data engineering, data security, governance engineering, or related enterprise data roles. Hands-on experience designing and implementing governance/security capabilities within Databricks, including Unity Catalog. Demonstrated experience implementing or integrating Immuta with Databricks or comparable enterprise data platforms. Deep knowledge of ABAC/RBAC, dynamic masking, tagging, metadata, data cataloguing, and policy-based data access. Senior technical leadership experience reviewing designs, identifying security gaps, challenging approaches, and guiding implementation.

Nice to Have Skills & Experience

Experience with Collibra or similar metadata/catalogue platforms and integrating catalogues with enterprise Data Lakehouse environments. Experience integrating Workday or other sensitive enterprise HR data into Databricks/Data Lakehouse platforms. Experience implementing secure data architectures supporting AI, agents, machine learning, or enterprise data products.

Job Description

Insight Global is hiring a Data Governance Lead to support a Databricks largescale digital transformation for one of its leading clients in the life sciences space. The Data Governance Lead will provide hands-on technical leadership across the design, implementation, integration, and validation of data security and governance capabilities. Working alongside internal engineering, architecture, security, and governance teams and a systems integration partner, this individual will ensure Databricks and Immuta are configured and integrated appropriately, metadata and tagging support security policies, and ABAC/RBAC, masking, and access controls operate correctly across data layers. This role will review technical designs, identify gaps, recommend improvements, guide implementation teams, establish best practices, and validate that solutions are scalable, compliant, auditable, and aligned with business needs.