JobPosting
title: Senior Forward Deployed Engineer - Full stack
description: As a Senior Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. The impact you will have: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common 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 deployments Working knowledge of MLOps, ML/AI mode…
date posted: 2026-06-19T14:29:54.347Z
valid through: 2026-10-01T14:02:50.515Z
direct apply: false
occupational category: Engineering
industry: Technology
skills: data engineering
skills: data platforms
skills: analytics
skills: software engineering
skills: Python
skills: Scala
skills: JavaScript/TypeScript
skills: Cloud ecosystems
skills: Apache Spark
skills: CI/CD
skills: MLOps
skills: ML/AI models
skills: AI APIs
skills: technical project delivery
hiring organization: Databricks
  type: Organization
  founding date: 2013
  number of employees: QuantitativeValue
    value: 4000
job location: Place
  address: PostalAddress
    address locality: London
    address country: GB
employment type: FULL_TIME