As a Forward Deployed Engineer (FDE), you work with customers to build and deploy production solutions for their data and AI challenges on the Databricks platform. You own the architecture, lead design decisions, and implement end-to-end systems that span data engineering, AI, and application development.
Impact:
- Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, reference architectures, custom applications, and data ingestion and ML/AI model integrations
- Transformational Impact: Guide strategic customers through the implementation of transformative big data projects including end-to-end design, build, and deployment
- Empower Customers: Guide customers through architecture and design; bootstrap or implement customer projects
- Own the Architecture: Lead architecture and design decisions, ensure solutions are secure, scalable, and well-aligned
- Collaboration: Work with Databricks technical team, Project Manager, Architect, and customer team
- Customer Immersion: Engage with customer teams, communicate with stakeholders from individual contributors to executives
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices
Requirements:
- Extensive experience in data engineering, data platforms & analytics, or software engineering
- Programming experience 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 distributed computing using 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
- Design and deployment of performant end-to-end data architectures and applications
- Experience with technical project delivery
- Documentation and whiteboarding skills
- Experience with enterprise customers
- 20% travel to customer sites