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- Tasks: Design and deliver custom fullstack applications for strategic customers using cutting-edge data and AI solutions.
- Company: Join Databricks, a leading data and AI company trusted by top global organisations.
- Benefits: Enjoy competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex problems at the intersection of technology and business.
- Qualifications: Experience in application delivery, AI/ML, and strong collaboration skills are essential.
- Other info: Dynamic role with travel opportunities and excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
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.
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:
- 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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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, please visit https://www.mybenefitsnow.com/databricks.
Sr. Forward Deployed Engineer in London employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Forward Deployed Engineer in London
✨Tip Number 1
Get to know the company inside out! Research Databricks, its culture, and its products. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those interviews by practising common technical questions and scenarios related to data and AI solutions. Show off your problem-solving skills and how you can deliver real impact for customers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Databricks family.
We think you need these skills to ace Sr. Forward Deployed Engineer in London
Some tips for your application 🫡
Show Your Passion for Problem-Solving: When writing your application, let us see your enthusiasm for tackling complex challenges. Share examples of how you've used your engineering skills to create impactful solutions, especially in customer-facing roles.
Tailor Your Experience: Make sure to highlight your relevant experience with data and AI solutions. We want to see how your background aligns with the role, so don’t hesitate to showcase specific projects that demonstrate your expertise in fullstack applications.
Communicate Clearly: Remember, you’ll be engaging with a range of stakeholders. Use clear and concise language in your application to show us that you can translate complex technical concepts into understandable terms for both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Databricks!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on your knowledge of data engineering, AI, and application development. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Customer Engagement Skills
Since this role is customer-facing, prepare examples that highlight your experience working directly with clients. Think about times when you’ve successfully collaborated with stakeholders to solve complex problems and how you communicated technical concepts to non-technical audiences.
✨Demonstrate Your Problem-Solving Mindset
Be prepared to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your adaptability and curiosity, especially in relation to new technologies or methodologies that could benefit the customer.
✨Prepare for Cross-Functional Collaboration
Understand the importance of working with different teams like Sales and Product. Have examples ready that illustrate your ability to collaborate across functions and how you’ve contributed to a seamless customer journey from pre-sales to post-deployment.