Sr. Forward Deployed Engineer - Architect - Full Stack

Experteer Overview In this role you will lead the delivery of production-grade data and AI solutions for customers using the Databricks platform. You will own architecture, steer design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. You will work cross-functionally with engineering, product, and customer teams to drive strategic initiatives and deliver measurable value. The opportunity combines hands-on technical work with high-impact customer collaboration to shape deployments and product feedback. Pay / Benefits

• Lead technical projects delivering production-grade data & AI solutions and reference architectures Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications Own architecture decisions ensuring security, scalability, and alignment with Databricks best practices Collaborate with engineering, PM, architects, and customer teams to meet engagement goals Provide product and implementation feedback and support rapid issue resolution with support teams Embed with customer teams to understand challenges across stakeholders and drive impact Create accelerators, frameworks, and best practices to scale impact across accounts and influence product roadmap Tasks Extensive experience in data engineering, data platforms & analytics or software engineering Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks Experience with two or more cloud ecosystems (AWS, Azure, GCP) and 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 deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of production end-to-end data architectures and applications Experience with technical project delivery including scope, timelines, and measurable outcomes Documentation and whiteboarding skills Enterprise client experience and stakeholder management Curiosity and adaptability to explore new technologies and deployment/integration challenges Travel to customers 20% Databricks Certification Key requirements
  
  will and implementation feedback and support rapid issue resolution with support teams Embed with customer teams to understand challenges across stakeholders and drive impact Create accelerators, frameworks, and best practices to scale impact across accounts and influence product roadmap Tasks Extensive experience in data engineering, data platforms & analytics or software engineering Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks Experience with two or more cloud ecosystems (AWS, Azure, GCP) and 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 deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of production end-to-end data architectures and applications Experience with technical project delivery including scope, timelines, and measurable outcomes Documentation and whiteboarding skills
Enterprise client experience and stakeholder management
• Curiosity and adaptability to explore new technologies and deployment/integration challenges Travel to customers 20% Databricks Certification Key requirements