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 own the end-to-end technical strategy for your accounts, lead complex architecture discussions, advise customer architects and Directors, drive competitive technical wins, develop a technical specialisation, orchestrate cross-functional resources, and influence product direction.
Requirements
- 6+ years customer-facing experience
- Strong Python and SQL coding with live coding and debugging
- Deep expertise in distributed data systems architecture
- Proficiency on Databricks or ability to learn quickly
- Ability to lead architecture discussions with senior stakeholders
- Experience with public cloud production deployments (AWS, Azure or GCP)
- Track record of driving platform adoption
- Excellent communication skills
- Bachelor's or Master's degree or equivalent experience
Responsibilities
- Own end-to-end technical strategy for accounts from discovery to production
- Lead complex architecture discussions across data engineering, ML/AI and real-time analytics
- Serve as trusted technical advisor to customer architects and leaders
- Drive technical wins in competitive scenarios
- Develop an emerging technical specialisation
- Orchestrate cross-functional resources
- Provide structured product feedback