Solutions Architect - Financial Services (Hunter)
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, and act as a trusted advisor to customer technical leaders. You will drive technical wins with custom solutions, orchestrate cross-functional resources, build a technical specialization, and give product feedback.
Requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales or senior technical role
- Strong Python and SQL with live coding ability
- Deep expertise in distributed data systems architecture
- Proficiency on the Databricks Platform or ability to gain it rapidly
- Ability to lead architecture discussions with senior technical stakeholders
- Production deployments on AWS, Azure or GCP
- Track record of driving platform adoption
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science, Engineering or quantitative discipline (or equivalent experience)
- Nice to have: Databricks certifications, Snowflake/AWS/Azure Synapse experience, industry expertise
Responsibilities
- Own end-to-end technical strategy for accounts
- Lead complex architecture discussions across data engineering, ML/AI and real-time analytics
- Serve as trusted technical advisor to customer architects and leads
- Drive technical wins in competitive scenarios
- Develop an emerging technical specialization
- Orchestrate cross-functional resources (DSAs, SSAs, Partners)
- Provide structured product feedback
Benefits
- Annual performance bonus eligibility
- Equity
Hiring Process
Recruiter Screen, Hiring Manager Screen, Design and Architecture Interview, Live Coding Assessment, Build/Demo/Pitch Presentation, Reference Check
