Sr. Partner Engineer - Security Partners

Databricks
San Francisco, CA, United States
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$120,500.0 - $165,650.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Systems Engineering Microsoft Azure Cloud Computing Security Cyber Security Cursor (Graphical User Interface Elements) Software Debugging Information Systems Security Architecture Professional Python (Programming Language) Scripting Enterprise Software Applications
+3 more
GitHub Copilot Restful APIs Databricks

Job description

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.

Requirements

  • 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.

Preferred

  • 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).

Pay Range Transparency

Benefits & conditions

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.

Zone 1 Pay Range $120,500-$165,650 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

About the company

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., 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.

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