Senior Solutions Architect (Pre-sales) - Life Sciences

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 drive the technical and consumption strategy for complex Life Sciences customers in Benelux. You will own senior technical relationships, lead complex architecture engagements including multi-workload platforms, migrations, real-time systems and AI/ML at scale, develop competitive strategies, orchestrate cross-functional teams, mentor junior architects and contribute thought leadership. The interview includes a live coding assessment and a platform/prototype build.

Requirements

  • 8+ years in global multi-architect account teams combining solutions architecture and technical pre-sales
  • Strong Python and SQL, ideally Spark/PySpark
  • Deep expertise in enterprise data architecture, streaming, lakehouse and data governance
  • Expert-level data platform knowledge
  • Executive presence and value-based selling skills
  • Strategic thinking and track record of driving consumption growth
  • Bachelor's or Master's degree in Computer Science, Engineering or a quantitative discipline (or equivalent experience)

Responsibilities

  • Drive technical and consumption strategy for complex customer engagements
  • Serve as trusted advisor on enterprise data and AI strategy
  • Lead complex architecture engagements including GenAI and agentic AI workflows
  • Mentor others as an expert on the Databricks Platform
  • Develop competitive strategies positioning Databricks
  • Orchestrate cross-functional teams to deliver enterprise solutions
  • Coach junior engineers and architects
  • Contribute to thought leadership through content, workshops and community engagement

Hiring Process

Live coding assessment and a platform/prototype build during the interview process.