Sr. Solutions Architect - Automotive

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will be an expert-level technical leader for complex customer engagements, driving consumption strategy and owning executive relationships. You will lead complex architecture engagements, develop competitive strategies, orchestrate cross-functional teams, coach junior SAs, and contribute to thought leadership. Weekly travel is expected.

Requirements

  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership or senior customer-facing technical role
  • Expert-level Python, SQL and ideally Spark/PySpark
  • Deep expertise in enterprise data architecture
  • Expert-level Databricks Platform knowledge
  • Declared technical specialization
  • Track record of driving consumption growth
  • Executive presence
  • Experience leading competitive displacements
  • Bachelor's or Master's degree in Computer Science, Engineering or quantitative discipline (or equivalent experience)
  • Ability to travel on a weekly basis

Responsibilities

  • Drive technical and consumption strategy for complex customer engagements
  • Own senior-level technical relationships as a trusted advisor
  • Lead complex architecture engagements including migrations, real-time systems and AI/ML at scale
  • Mentor others and drive horizontal impact
  • Develop and execute competitive strategies
  • Orchestrate cross-functional teams
  • Coach and develop junior SAs
  • Contribute to thought leadership through content, workshops and community engagement