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For Companies At a Glance
- Tasks: Design and deliver custom fullstack applications for strategic customers using cutting-edge data and AI solutions.
- Company: Join Databricks, a leader in data and AI innovation with a collaborative culture.
- 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: Strong software engineering background with skills in Python, SQL, and modern frameworks.
- Other info: Dynamic role with travel opportunities and a focus on customer engagement.
The predicted salary is between 43200 - 72000 £ per year.
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 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.
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, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Forward Deployed Engineer (Hiring Immediately) in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Forward Deployed Engineer (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Databricks on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Databricks' products and recent projects. Show us that you’re not just another candidate; demonstrate your passion for data and AI solutions and how you can contribute to our team.
✨Tip Number 3
Practice your problem-solving skills! We love candidates who can think on their feet. Try mock interviews or coding challenges to sharpen your technical skills and get comfortable with explaining your thought process.
✨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 us you’re genuinely interested in joining the Databricks family.
We think you need these skills to ace Sr. Forward Deployed Engineer (Hiring Immediately) in London
Some tips for your application 🫡
Show Your Engineering Depth: Make sure to highlight your strong background in software engineering. We want to see your experience with backend, frontend, and systems integration, so don’t hold back on showcasing your skills in Python, SQL, and other relevant technologies.
Demonstrate Customer Impact: Share examples of how you've delivered technical solutions that made a real difference in enterprise environments. We love seeing measurable outcomes, so if you’ve got stats or success stories, include them!
Be Curious and Adaptable: We’re looking for candidates who are eager to explore new technologies and tackle customer challenges. Let us know about your learning mindset and any recent tech trends you’ve been diving into.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Databricks
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and Java/Scala. Brush up on your full-stack development skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved in previous roles, especially those that had a measurable impact. Be ready to explain your thought process and the steps you took to arrive at a solution.
✨Engage with Customer Scenarios
Since this role is customer-facing, think of scenarios where you've successfully collaborated with clients or stakeholders. Highlight your ability to translate technical concepts into actionable solutions for non-technical audiences.
✨Demonstrate Your Curiosity
Exhibit your eagerness to learn and adapt by discussing recent trends in data and AI that excite you. Show that you're not just technically skilled but also passionate about exploring new technologies and solving customer challenges.