Senior Forward Deployed Engineer (Technical Data Architect)

Highlights

• Build production-grade data and AI solutions directly with customers on Databricks.
• Own architecture for end-to-end big data and AI applications at enterprise scale.
• Embed with customer teams to deliver transformational impact and lasting adoption.

Ideal candidate

Hands-on builder who loves working directly with customers to solve complex data challenges. Adaptable, curious, and empathetic, you thrive turning ambiguity into production impact.

Requirements

• Experience in data engineering, data platforms & analytics, or software engineering / full stack development
• 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 end-to-end data architectures combining pipelines, ML/AI models and interfaces
• Experience with technical project delivery, managing scope, timelines and measurable outcomes
• Documentation and white-boarding skills, translating complex concepts into actionable solutions
• Experience working with enterprise clients and managing conflicts across broad stakeholders
• Travel to customers 20% of the time