Sr. Forward Deployed Engineer

Highlights

• Build and productionize end-to-end data and AI solutions for customers.
• Lead production-grade projects from architecture to deployment with clients.
• Embed with customer teams to drive measurable business impact at scale.

What they offer

• performance bonus
• equity
• comprehensive benefits and perks

Ideal candidate

Hands-on builder with 6+ years in data or software who thrives with customers. Curious, adaptable and empathetic, you love solving complex business problems and delivering production impact.

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 distributed computing with Apache Spark and 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 combining pipelines, models and interfaces
• Experience with technical project delivery managing scope, timelines and measurable outcomes
• Documentation and white-boarding skills
• Experience working with enterprise clients and managing conflicts across stakeholders
• Curiosity, adaptability and eagerness to explore new technologies for Databricks solutions
• Travel to customers 20% of the time
• Databricks Certification