Senior Solution Architect

San Francisco, United States | Posted on 10/01/2026

We are looking for a high-caliber Senior Solution Architect to join our Professional Services team. This is a high-impact, technical role designed for a seasoned expert who can balance deep hands-on coding with strategic consulting. As an RSA, you will be embedded with our most strategic customers, acting as a "Trusted Advisor" to design, build, and deploy production-grade Big Data and AI solutions on the Databricks platform.

• Technical Delivery: Lead short-to-mid-term professional services projects, focusing on data engineering, data science, and cloud-native architectures.
• Hands-on Engineering: Write production-quality code (Python, Scala), optimize distributed compute (Apache Spark) workloads, and integrate solutions across cloud ecosystems.
• Architecture & Design: Design reference architectures and assist customers with production-level deployments, CI/CD pipelines, and MLOps.
• Strategic Advisory: Guide customers through "Build vs. Buy" decisions, highlighting the value of scalability and maintainability over technical debt.
• Problem Solving: Resolve high-level technical escalations and unblock customers by debugging complex performance issues or building bridge solutions for feature gaps.
• Collaboration: Work closely with Product Engineering to provide real-world feedback and influence the future roadmap of the Databricks platform.

• Experience: 8+ years in Data Engineering, Analytics, or Platform roles, with at least 10+ years in technical consulting
  .
• Technical Mastery: Deep expertise in Apache Spark internals and distributed processing.
• Coding: Advanced proficiency in Python or Scala
  .
• Cloud Expertise: Deep experience in at least one major cloud provider (
  AWS, Azure, or GCP
  ) and working knowledge of a second.
• Project History: Proven track record of delivering at least 6-8+ end-to-end Databricks projects
  .
• Dev Ops/MLOps: Strong familiarity with production deployment practices, including CI/CD and data governance frameworks (Unity Catalog).
• Certifications: Databricks Certified Data Engineering Professional (or equivalent).

• Consulting Mindset: Ability to earn trust early, empathize with customer pain points, and manage stakeholder expectations effectively.
• Communication: Skilled at simplifying complex technical concepts for executive-level stakeholders.
• Adaptability: Comfortable working across various industries and diverse cloud environments.
• Strategic Thinking: Focuses on long-term value, identifying "quick wins" while mitigating long-term architectural risks.

• This is a billable professional services role. You will be an embedded engineer delivering real implementations, not just strategy.
• You will tackle some of the most challenging data problems in the industry, requiring you to be both a visionary architect and a diligent debugger.
• You will play a critical role in helping customers adopt a "Data + AI" mindset, transforming how they operate their business.