Enterprise Solutions Architect
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
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.
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 the Enterprise Account Executive as the main technical voice for Databricks across multiple large clients. You will lead customers through adoption of Databricks, implement the technical strategy in the account, build technical champions, align technical strategies around Databricks solutions, and mentor team members.
Requirements
- Proficiency establishing and leading virtual teams within an account
- Experience working with very large (>$1m ARR) global accounts
- Ability to build relationships with executives and influencers
- Ability to present a convincing point of view to decision-makers
- Technical knowledge of big data, data science and cloud
- Ability to drive data-driven business transformation
- Production programming experience in Python, R, Scala or Java
- Nice to have: Databricks Certification
Responsibilities
- Act as the main technical voice for Databricks with multiple clients
- Lead customers through evaluation and adoption of Databricks
- Implement the technical strategy in the account
- Build a movement of technical champions within the account
- Align technical strategies around Databricks solutions
- Provide structured mentorship to team members
Benefits
- Eligibility for annual performance bonus
- Equity