Senior Forward Deployed Engineer (Technical Data Architect)

London · Hybrid · Posted Oct 13, 2026

At a glance

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

As a 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.

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
Work with engagement managers to scope technical delivery work with input from the customer
Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's 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 customers' needs
Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues
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

Experience in data engineering, data platforms & analytics, or software engineering / full stack development
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 models and AI APIs
Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
Documentation and white-boarding skills
Experience working with enterprise clients and managing conflicts across a broad stakeholder range