Forward Deployed Engineering - Senior Architect

Highlights

• Lead production-grade systems solving customers' data and AI challenges.
• Guide strategic customers through transformational big data projects.
• Create reusable accelerators that scale impact across accounts.

Ideal candidate

A hands-on builder who thrives at the intersection of technology and business impact. Adaptable, curious and customer-obsessed, you love embedding with teams to solve complex problems and deliver measurable outcomes.

Requirements

• 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 end-to-end production data architectures combining pipelines, ML/AI models and user 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
• Willingness to travel to customers 20% of the time
• Databricks Certification preferred but not essential