Databricks

Sr. Staff Partner Engineer

Databricks$174K — $240K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in solution architecture, field engineering, or technical roles related to cloud, data, or AI/ML.
  • Deep knowledge of multi-tenant SaaS architectures and security best practices.
  • Strong software development experience with production-grade applications and CI/CD.
  • Technical expertise in Databricks products and cloud-native architectures (AWS, Azure, GCP).
  • Experience managing senior technical relationships and complex projects in partner ecosystems.

Responsibilities

  • Own the design and evolution of the Partner Well-Architected Framework.
  • Collaborate with directors and VPs to validate partner platforms for security and scalability.
  • Develop production-grade reference implementations for Built-On architectures.
  • Drive alignment across teams to prioritize platform roadmaps based on partner insights.
  • Evangelize the framework through clear documentation and guidance for partner solutions.

Benefits

  • Comprehensive employee benefits and perks tailored to individual needs.
  • Access to performance bonuses and equity opportunities.
Full Job Description
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

BenefitsAt 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, please visit https://www.mybenefitsnow.com/databricks.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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