
Databricks Data Governance Lead
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Job overview
Insight Global is hiring a Data Governance Lead to support a Databricks largescale digital transformation for a leading client in the life sciences space, providing hands‑on technical leadership across design, implementation, integration, and validation of data security and governance capabilities.
Skills & qualifications
Skills
Qualifications
Full job description
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.
Skills and Requirements
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. 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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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