At a Glance
- Tasks: Lead impactful projects, designing and building data solutions for federal government customers.
- Company: Join Databricks, a leader in data and AI infrastructure with a passion for solving tough problems.
- Benefits: Enjoy competitive pay, comprehensive benefits, and a hybrid work environment.
- Other info: Collaborative culture with opportunities for career growth and travel.
- Why this job: Make a real impact by transforming big data challenges into innovative solutions.
- Qualifications: 6+ years in data engineering or software engineering; coding skills in Python, Scala, or JavaScript.
The predicted salary is between 81000 - 99000 £ per year.
About Databricks
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
The Role
As a Sr. Forward Deployed Engineer (FDE), you will work with federal government 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. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact.
The impact you will have:
- Production Solution Delivery: 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.
- Transformational Impact: 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.
- Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
What We're Looking For:
Minimum Qualifications:
- 6+ years experience in data engineering, data platforms & analytics, or software engineering.
- Fluency in writing code in 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, documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
Preferred Qualifications:
- Expertise in MLOps, ML/AI models, and AI APIs.
- Databricks Certification.
Pay Range Transparency
Zone 1 Pay Range $182,000 – $250,208 USD
Zone 2 Pay Range $182,000 – $250,208 USD
Zone 3 Pay Range $182,000 – $250,208 USD
Zone 4 Pay Range $182,000 – $250,208 USD.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
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.
Sr. Forward Deployed Engineer (FDE) - Public Sector in London employer: Borderless
At Borderless, we pride ourselves on being an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. Our hybrid work model allows for flexibility, while our comprehensive benefits package and commitment to employee growth ensure that you can develop your career in a supportive environment. Join us to be part of a team that values your contributions and empowers you to achieve high-value global wins.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Forward Deployed Engineer (FDE) - Public Sector in London
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We think you need these skills to ace Sr. Forward Deployed Engineer (FDE) - Public Sector in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Borderless.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Borderless and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at Borderless
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Borderless uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.