Sr. Forward Deployed Engineer (FDE) - Retail
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 work with customers to build and productionize solutions to their data and AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role with travel to customers 20% of the time.
Requirements
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in Python, Scala, JavaScript/TypeScript and modern frameworks
- Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with Apache Spark and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Experience designing and deploying production end-to-end data architectures and applications
- Experience with technical project delivery including managing scope, timelines and outcomes
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across stakeholders
- Travel to customers 20% of the time
- Databricks Certification
Responsibilities
- Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion and ML/AI model integration
- Guide strategic customers through end-to-end design, build and deployment of big data and AI applications
- Scope technical delivery work with engagement managers and customers
- Guide customers on architecture and design and bootstrap or implement customer projects
- Lead architecture and design decisions ensuring solutions are secure and scalable
- Work with the Databricks technical team, project manager, architect and customer team to deliver technical components
- Collaborate with engineering and customer support to provide product feedback and resolve issues
- Embed with customer teams and engage stakeholders from technical ICs to executives
- Contribute accelerators, frameworks and best practices that influence the product roadmap
Benefits
- Annual performance bonus eligibility
- Equity eligibility