Sr. Forward Deployed Engineer

Highlights

• Build and productionize end-to-end data and AI solutions for customers.
• Own architecture and lead design for strategic customer projects.
• Embed with customer teams to drive measurable business impact.

Ideal candidate

Hands-on builder who thrives at the intersection of technology and business impact, combining customer empathy, curiosity and adaptability to deliver production solutions that drive measurable outcomes.

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
• Experience designing and deploying production 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-based solutions
• Ability to travel to customers 20% of the time
• Databricks Certification