Forward Deployed Engineer

# Forward Deployed Engineer (FDE)

As a Forward Deployed Engineer you work with customers to build and productionalize solutions for their data and AI challenges using the Databricks platform. You own the architecture, lead design decisions and implement end-to-end systems encompassing data engineering, AI and application development.

## Impact you will have:

Production Solution Delivery: Lead impactful customer projects by delivering production-grade systems, designing and building reference architectures and custom applications, and executing data ingestion and ML/AI model integration.

Transformational Impact: Guide strategic customers in implementing transformative big data projects, including end-to-end design, build and deployment of leading-edge big data and AI applications.

Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects leading to successful understanding, evaluation and adoption of Databricks.

Own the Architecture: Lead architecture and design decisions, ensure solutions are secure and scalable, and aligned with both customer needs and Databricks best practices.

Collaboration: Work with the Databricks technical team, Project Manager, Architect and Customer team to deliver technical components of the engagement.

Customer Immersion: Collaborate with customer teams, engage stakeholders from technical staff to executives to deeply understand challenges and deliver impact.

Reusable Assets & Scale: Contribute to accelerators, frameworks and best practices that scale impact and influence the Databricks product roadmap.

## What we're looking for:

• Extensive experience in data engineering, data platforms and analytics, or software engineering
• Comfortable writing code in Python, Scala, JavaScript/TypeScript or 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 production end-to-end data architectures and applications
• Experience with technical project delivery—managing scope, timelines and measurable outcomes
• Documentation and whiteboarding skills
• Experience with enterprise customers and managing disagreements across a broad stakeholder base
• 20% travel to customers
• Databricks certification required