Sr. Staff Forward Deployed Engineer
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 embed with strategic customers to design and deliver custom fullstack applications on the Databricks Data Intelligence Platform. You will own the architecture, lead design decisions and build end-to-end systems spanning data engineering, AI and application development. You will partner with Sales, Product and Field Engineering and contribute reusable accelerators and frameworks.
Requirements
- Strong software engineering background across backend, frontend and systems integration
- Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript and modern frameworks
- Ability to design, build and deploy production applications combining data pipelines, ML/AI models and user interfaces
- Familiarity with AI APIs such as OpenAI, Anthropic and Gemini and AI code generation tools
- Track record delivering technical solutions in enterprise environments
- Ability to communicate from engineers to C-level executives
Responsibilities
- Lead architecture and design decisions for secure, scalable solutions
- Design and develop applications spanning backend, frontend and integrations
- Deliver production-grade systems from data ingestion to ML/AI integration to user-facing applications
- Embed with customer teams and engage stakeholders from ICs to executives
- Partner with Sales, Product and Field Engineering across the customer journey
- Contribute accelerators, frameworks and best practices and influence the product roadmap