Sr. Partner Engineer - Security Partners

RDQ427R534

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

We're seeking a Partner Engineer to work with our security technology partner ecosystem. You will be the technical liaison managing integrations with leading security vendors. Working in collaboration with partner engineering and product teams, you'll co-build joint solutions, drive technical integrations, and ensure Databricks customers can deploy secure, compliant data and AI architectures. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Security Engineering, and Field teams.

• Own the security technology partner category, leading technical engagements with partners and building relationships with senior stakeholders to drive joint innovation and co-sell opportunities.
• Shape Databricks product roadmap priorities by translating security partner requirements, integration gaps, and ecosystem insights into strategic platform needs, working cross-functionally with Product and Engineering teams.
• Design and prototype security partner integrations, serving as hands-on technical expert and early validator of new capabilities and architecture design patterns.
• Build and maintain production-grade reference implementations, deployment guides, demos, and technical examples that demonstrate security architectures with Databricks and partner solutions.
• Troubleshoot complex security integration issues, serving as technical escalation points for partner engineering teams.
• Enable partners and field teams through solution documentation, technical articles, whitepapers, and demos to accelerate joint innovation and customer adoption.

• 5+ years of experience in security architecture, partner engineering, systems engineering, or technical solutions roles, with ability to quickly master new security technologies while managing multiple priorities.
• Strong knowledge of Identity, AI security  and extensive experience working with REST APIs and SDKs.
• Experience managing strategic technical partnerships, with ability to navigate complex multi-company engineering initiatives, build consensus across organizations, and lead technical and architectural discussions with clarity and confidence.
• Hands-on technical skills with ability to prototype integrations using AI coding platforms, build demos, debug complex issues, and create reference implementations. Experience with scripting languages (Python, Go preferred).
• Strong understanding of modern security architectures, authentication/authorization patterns, and how security technologies integrate with data and AI platforms.
• Strong communication and influence skills, with ability to present to technical stakeholders and executive leaders, translating complex technical concepts for diverse audiences.
• Availability to travel globally to partner sites, conferences, and events as required.

• Prior experience in Partner Solutions Architect, SE, or Alliance Engineering roles at security vendors, cloud providers, or major enterprise software companies, with a track record of driving product-to-product integrations.
• Understanding of Databricks platform, with ability to design security frameworks
• Security architecture certifications such as CISSP, CISM, or cloud security certifications (AWS Security Specialty, Azure Security Engineer).
• Track record of creating high-impact technical content (deployment guides, reference architectures, whitepapers, blog posts, conference presentations) that demonstrates security best practices.
• Familiarity with modern development workflows and AI-assisted development tools (Cursor, GitHub Copilot, Claude).

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.