Sr. Solutions Architect - FSI
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 act as an expert-level technical leader for the most complex customer engagements, driving consumption strategy and serving as the technical authority and trusted advisor on enterprise data and AI. You will lead architecture engagements, build competitive strategies, orchestrate cross-functional teams, mentor junior SAs, and contribute thought leadership. Weekly travel is expected.
Requirements
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership or senior customer-facing technical role
- Expert-level coding in Python, SQL and ideally Spark/PySpark
- Deep expertise in enterprise data architecture
- Expert-level Databricks Platform knowledge or equivalent
- Declared technical specialization
- Track record of driving consumption growth in large accounts
- Executive presence
- Experience leading competitive displacements
- Strategic thinking
- Bachelor's or Master's degree in Computer Science, Engineering or quantitative discipline (or equivalent experience)
- Ability to travel on a weekly basis
Responsibilities
- Drive technical and consumption strategy for complex customer engagements
- Own senior-level technical relationships as a trusted advisor on data and AI strategy
- Lead complex architecture engagements including migrations, real-time systems and AI/ML at scale
- Mentor others and drive horizontal impact across the team
- Develop and execute competitive strategies against incumbent and emerging platforms
- Orchestrate cross-functional teams to deliver enterprise-grade solutions
- Coach and develop junior SAs
- Contribute to Field Engineering thought leadership through content, workshops and community engagement