Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services)
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 advanced technical strategy for your customers, owning complex architecture discussions, driving platform adoption and serving as a trusted advisor to customer technical leads and architects. You will develop a technical specialization and drive technical wins in competitive scenarios. This position can be remote.
Requirements
- 6+ years in solutions architecture, technical pre-sales, or senior hands-on technical role
- Deep Apache Spark ecosystem experience, Kafka, performance tuning
- Experience migrating EDW workloads and advanced query tuning
- Strong Python and SQL coding proficiency
- Deep expertise in distributed data systems architecture
- Proficiency on the Databricks Platform
- Ability to lead architecture discussions with senior stakeholders
- Production deployments experience on public cloud
- 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)
- Willingness to travel up to 30%
Responsibilities
- Own end-to-end technical strategy for accounts from discovery to production and consumption growth
- Lead complex architecture discussions for data engineering and real-time analytics
- Serve as trusted advisor to customer architects, engineering leads and Directors
- Drive technical wins in competitive scenarios
- Develop an emerging technical specialization
- Orchestrate cross-functional resources
- Provide structured feedback to influence product direction
Benefits
- Remote work option
- Annual performance bonus eligibility
- Equity eligibility
Hiring Process
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Presentation → Reference Check