Forward Deployed Engineer
Join Databricks as a Forward Deployed Engineer to design and deliver custom fullstack applications for strategic customers.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 2 hours ago
Skills & Technologies
What you'll build
- Lead architecture and design decisions
- Design and develop applications
- Deliver production-grade systems
- Engage with customer teams
- Contribute accelerators and frameworks
Must have
- Strong background in software engineering
- Experience across backend, frontend, and systems integration
- Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript
Nice to have
- Familiarity with AI APIs
- Experience with ML/AI models
- Ability to engage with C-level executives
Practical constraints
- Ability and interest to travel up to 50%
Role intensity
70% hands-on coding
AI in the day-to-day
Familiarity with AI APIs such as OpenAI, Anthropic, and Gemini into applications.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Forward Deployed Engineer at Databricks, the individual will work closely with strategic customers to design and implement custom full-stack applications on the Databricks platform. Key skills include proficiency in Python, SQL, and Java/Scala, along with experience in AI/ML integration and application delivery. This position is ideal for seasoned software engineers who excel in customer-facing roles and possess a strong ability to communicate complex technical concepts to diverse stakeholders. The team emphasizes collaboration across functions, ensuring a seamless customer experience from pre-sales to deployment.
Joblaze insights
- Listed yesterday — first seen on Joblaze October 29, 2026. Last confirmed on Databricks's careers page October 31, 2026.
- This exact title is also open at 5 other locations at Databricks: Remote - India, Tokyo, Japan, Belgrade, Serbia; Berlin, Germany; Munich, Germany, Seoul, South Korea, Amsterdam, Netherlands.
Quick facts
- Is the Forward Deployed Engineer role remote?
- No — this is an on-site role in London, United Kingdom.
- Where is the role based?
- Databricks is hiring for this position in London, United Kingdom.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Java, JavaScript, Python, SQL, Scala, TypeScript.
- What seniority level is this role?
- Databricks targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Forward Deployed Engineer role at Databricks.
From the original posting
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
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