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
About the Role
You will partner with customers to tackle big data challenges using the Databricks Platform, acting as a trusted advisor and delivering tailored data engineering and data science solutions across cloud environments. You will build robust, scalable automation utilities and AI solutions with guardrails, and manage multiple projects while mitigating risks.
Requirements
- 15+ years with Big Data technologies such as Spark, Kafka, cloud native and data lakes in customer-facing roles
- 6+ years working independently on Big Data architectures
- 2+ years of AI implementations including RAG, MCP, context engineering
- Strong experience in the Databricks ecosystem
- Python or Scala
- Experience across GCP, AWS, Azure
- Documentation and white-boarding skills
- Stakeholder management skills
Responsibilities
- Collaborate on customer big data projects such as reference architectures and how-to guides
- Build production-ready, scalable tools and technologies
- Advise strategic customers on big data initiatives including migrations and AI applications
- Provide architecture and design expertise
- Partner with Engineering and Customer Support to resolve issues and improve the product
- Manage multiple projects ensuring quality and mitigating risks