Evergreen 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 lead the technical strategy for your customers, owning architecture discussions, driving platform adoption, and acting as a trusted advisor to customer technical leads and architects. You will develop a technical specialization and be recognized in your team for depth in a specific domain.
Requirements
- 5+ years in solutions architecture, data engineering, technical pre-sales, or senior hands-on technical role
- Strong coding proficiency in Python and SQL with live coding and debugging
- Deep expertise in distributed data systems architecture
- Proficiency on the Databricks Platform or ability to achieve it rapidly
- Ability to lead architecture discussions with senior technical stakeholders
- Experience with production deployments on AWS, Azure, or GCP
- Track record of driving platform adoption and consumption growth
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline (or equivalent experience)
- Written and verbal fluency in Japanese
Responsibilities
- Own end-to-end technical strategy for your accounts from discovery through production and consumption growth
- Lead complex architecture discussions designing scalable solutions across data engineering, ML/AI, and real-time analytics
- Serve as trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios
- Develop an emerging technical specialization
- Orchestrate cross-functional resources (DSAs, SSAs, Partners)
- Provide structured feedback to influence product direction
Hiring Process
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check