Forward Deployed Engineer

Academic Key; Greater London; Híbrido; GBP 120.000 - 170.000; Jornada completa

Descripción de la vacante

Databricks in London is seeking a Forward Deployed Engineer to embed with strategic customers, designing and delivering custom full-stack applications on the Databricks Data Intelligence Platform and other stacks. You will own architecture, lead decisions, and implement end-to-end systems spanning data engineering, AI, and applications.

The role combines engineering depth with customer-facing impact, requiring collaboration with Sales, Product, and Field Engineering and a willingness to travel

Formación

• Strong software engineering background across backend, frontend, and systems integration.
• Proficiency in Python, SQL, Java/Scala, and JavaScript/TypeScript.
• Experience delivering production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Familiarity with AI APIs (OpenAI, Anthropic, Gemini) and AI code generation tools.
• Proven track record delivering technical solutions in enterprise environments that drive measurable outcomes.

Responsabilidades

• Own architecture and design decisions for secure, scalable customer solutions.
• Develop backend, frontend, and integrations on the Databricks platform.
• Deliver production-grade data/AI applications from ingestion to model integration.
• Embed with customer teams to understand challenges and deliver impact.
• Collaborate with Sales, Product, and Field Engineering to ensure successful customer journeys.
• Contribute accelerators and best practices to scale impact across accounts.

Conocimientos

Python

SQL

Java/Scala

JavaScript/TypeScript

Backend development

Frontend development

Systems integration

Customer-facing

Herramientas

OpenAI APIs

Anthropic APIs

Gemini APIs

Descripción del empleo

Forward Deployed Engineer

databricks · London

About the Team

The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation.

Role Description

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration.
• Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.
• Ability and interest to travel up to 50% as needed to client sites.

About Databricks

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 .

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions,

Academic Key will never request login credentials or application fees for this role.