Sr. Staff Partner Engineer

RDQ427R325

About the Role

We're seeking a Senior Staff Partner Engineer to own and evolve the technical foundation of the Built-On program. You will own the Partner Well-Architected Framework, create production-grade reference implementations that demonstrate best practices, and collaborate with VP and C-level executives at strategic partners to co-architect and validate their platforms. You will partner closely with Databricks Product and Engineering teams to shape the platform roadmap based on ecosystem insights and partner requirements. Your work will set the technical bar for the ecosystem and accelerate partner time-to-market.

Impact you will have

• Own the design, governance, and evolution of the Partner Well-Architected Framework, defining core architecture standards and validation mechanisms for Built-On solutions.

• Work with director, VP, and CPO-level partner architects to design, review, and validate their platforms for security, scalability, and alignment with Databricks standards.

• Build and maintain production-grade reference implementations, blueprints, and technical examples that demonstrate end-to-end Built-On architectures in practice.

• Drive alignment across Product, Engineering, and Field teams to shape platform roadmap priorities based on ecosystem insights and partner requirements.

• Evangelize the framework through clear technical documentation and published guidance, validating partner solutions and approving architectures for Built-On program inclusion.

What we’re looking for

• 10+ years of experience in solution architecture, field engineering, or technical roles in cloud, data, or AI/ML domains, with proven experience designing and owning distributed SaaS platform architectures from end to end.

• Deep expertise in multi-tenant SaaS architectures including authentication patterns (OAuth 2.0, OIDC, SSO federation), data isolation, and security best practices.

• Strong hands-on software development experience with ability to build production-grade applications, combined with expertise in CI/CD, DevOps practices, and architectural quality enforcement.

• Technical expert on Databricks product suite and cloud-native architectures (AWS, Azure, GCP), with ability to translate partner requirements into platform priorities.

• Demonstrated experience managing senior technical relationships (VP/C-level) and complex projects in partner ecosystems, with excellent communication and consultative skills.

Preferred

• Experience building B2B applications on Databricks or familiarity with hyperscaler Well-Architected Frameworks.

• Experience with modern development workflows and AI-assisted development tools (Cursor, GitHub Copilot, Claude).

• Background in consulting or services industry with experience mentoring senior technical talent and leading cross-functional initiatives.

Pay Range Transparency

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.

Zone 1 Pay Range

$174,800—$240,350 USD

Pay Range Transparency

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.

Zone 2 Pay Range

$174,800—$240,350 USD

About Databricks

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.

Our Commitment to Diversity and Inclusion

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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.