Solutions Architect - Healthcare/Life Sciences Team (HLS)

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 work with an Enterprise Account Executive as the main technical voice for Databricks with multiple clients in Healthcare and Life Sciences. You will lead customers through adoption, build technical champions, mentor team members, and travel up to 35% when needed.

Requirements

  • Establish virtual teams and lead them to success within the account
  • Experience with very large (> $1m ARR) global accounts
  • Build relationships with executives and influencers
  • Technical in big data, data science and cloud
  • Data-driven business transformation ability
  • Programming in Python, SQL or Scala
  • Travel up to 35% when needed
  • Bachelor's degree in computer science or related field

Responsibilities

  • Act as main technical voice for Databricks with multiple clients
  • Lead customers through evaluating and adopting Databricks
  • Implement the technical strategy in the account
  • Build a movement of technical champions
  • Align technical strategies around Databricks solutions
  • Mentor other team members

Benefits

  • Annual performance bonus eligibility
  • Equity
Solutions Architect - Healthcare/Life Sciences Team (HLS) at Databricks | JobStash