Sr. Staff Partner Engineer

RDQ427R325

About the Role

Were 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 were 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.