This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Databricks Data Security Engineer based in the United States.
This role will lead the security architecture and implementation of access controls across a modern Databricks Lakehouse environment.
You will serve as the senior technical owner for data access governance, translating security and compliance requirements into scalable controls.
The position combines hands-on software engineering with architecture, automation, governance, and technical leadership.
You will work closely with data engineering, platform engineering, identity teams, and enterprise stakeholders to establish secure data practices.
Your work will shape how sensitive data is classified, accessed, monitored, and protected across the platform.
The environment emphasizes infrastructure-as-code, automated security controls, and modern identity and federation patterns.
This is an opportunity to build and mature a critical data security function while solving complex challenges at enterprise scale.
Accountabilities:
- Lead the architecture and implementation of role-based access control (RBAC) and attribute-based access control (ABAC) within Databricks Unity Catalog.
- Define scalable data access models, including data structures, permissions, tagging standards, dynamic views, row-level security, and column-level masking.
- Establish and evolve identity governance for the Databricks environment, including service principals, workload identities, SCIM, and integration with enterprise identity providers.
- Translate regulatory, contractual, security, and compliance requirements into practical technical controls and enforceable platform policies.
- Develop and maintain data classification frameworks and tagging structures that enable consistent and scalable access governance.
- Implement Databricks grants, catalogs, tags, access controls, and policies as code using Terraform and/or Databricks Asset Bundles.
- Build automation and controls that support version management, audit readiness, repeatability, and secure deployment practices.
- Partner with workspace administrators and platform engineers to align workspace, compute, secrets, networking, and identity controls with the overall data security architecture.
- Create reusable guardrails, templates, and workflows that enable data engineering teams to manage access efficiently while maintaining strong security standards.
- Provide technical leadership and guidance as the data security function evolves, balancing enterprise security requirements with usability and engineering efficiency.
- Use Python and SQL to automate security processes, monitoring, compliance activities, and operational workflows.
Requirements:
- Bachelor’s degree in a relevant discipline with at least 8 years of experience as a Software Engineer or Data Engineer, with significant focus on data platform security and security automation; alternatively, a master’s degree with at least 6 years of relevant experience.
- At least 2 years of hands-on experience implementing Databricks Unity Catalog security capabilities.
- Demonstrated expertise designing and implementing RBAC and ABAC models at scale.
- Strong practical experience with Unity Catalog grants, dynamic views, row-level filtering, column-level filtering, and data masking.
- Fluency with identity and federation concepts, including SCIM, service principals, workload identities, and integration with enterprise identity providers such as Microsoft Entra ID.
- Experience applying infrastructure-as-code practices to Databricks security, access, tagging, and policy management, preferably using Terraform.
- Strong proficiency in Python and SQL for automation, monitoring, security operations, and compliance.
- Ability to translate complex security, regulatory, and contractual requirements into scalable technical solutions.
- Strong understanding of data classification, access governance, identity management, and security automation.
- Ability to operate effectively across data engineering, platform engineering, security, and enterprise stakeholder groups.
- Strong technical leadership, problem-solving, communication, and collaboration skills.
- Ability to work independently while establishing engineering standards and driving security initiatives across a complex technical environment.
- Ability to obtain a government security clearance is preferred.
- A master’s degree is preferred.
- Full-time onsite work in Falls Church, Virginia, is preferred, although full-time remote work is available.
Benefits:
- Competitive base salary range of $142,200–$213,200, depending on responsibilities, experience, education, skills, and market conditions.
- Potential eligibility for additional compensation, including overtime, shift differentials, and discretionary bonuses, depending on position requirements.
- Health insurance coverage.
- Life and disability insurance.
- Savings and retirement benefits.
- Paid company holidays.
- Paid time off (PTO) for vacation and personal business.
- Flexible work arrangements, including the option for full-time telework.
- Opportunities to work with modern cloud data, security, automation, and infrastructure technologies.
- Exposure to complex enterprise-scale data security initiatives and cross-functional technical programs.
- Opportunities for continued professional development and career growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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