Senior Forward Deployed Engineer

Highlights

• Own architecture and deliver production-grade data & AI systems for customers.
• Embed with strategic customers to guide transformational big data projects.
• Create reusable accelerators and frameworks that scale impact across accounts.

Ideal candidate

Hands-on builder who thrives at the intersection of technology and business impact, combining customer empathy and curiosity with adaptability to solve complex problems and drive measurable outcomes.

Requirements

• 6+ years of experience in data engineering, AI, data platforms & analytics
• Design and deployment of performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces
• Working knowledge of MLOps, ML/AI models and AI APIs
• 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 knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployment
• 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 supporting Databricks-based solutions
• Ability to travel to customers 20% of the time
• Databricks Certification