At a Glance
- Tasks: Lead the development of cutting-edge data platforms and collaborate with innovative teams.
- Company: Join DraftKings, a forward-thinking tech company shaping the future of AI in gaming.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with mentorship opportunities and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact in the gaming industry.
- Qualifications: 5+ years in data engineering or machine learning, with strong skills in AWS and Python.
The predicted salary is between 80000 - 100000 £ per year.
The Crown Is Yours
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
What you’ll do as a Lead Data Platform Engineer:
- Own and operate Databricks infrastructure with a focus on reliability, scalability, performance, and cost optimization.
- Build and manage cloud infrastructure on Amazon Web Services using infrastructure-as-code tools like Terraform.
- Author and review technical designs that enable scalable, automated, and reproducible machine learning workflows.
- Partner closely with data scientists, data engineers, machine learning engineers, and Infrastructure teams to align platform capabilities to real-world needs.
- Drive engineering initiatives from technical planning through delivery, production rollout, and long-term maintenance.
- Stay current on data platform and machine learning platform trends, applying best practices that improve platform efficiency, usability, and governance.
- Coach and mentor teammates, raising the bar through strong technical feedback, thoughtful enablement, and shared ownership.
What you’ll bring:
- At least 5 years of experience in machine learning platform, data platform, data engineering, or infrastructure engineering roles.
- Hands‑on experience administering and operating Databricks in production environments.
- Deep familiarity with infrastructure as code, including Terraform or Pulumi, and proven ability to manage change safely at scale.
- Experience with AWS, Docker, Kubernetes, and continuous integration and continuous delivery pipelines.
- Strong Python skills and familiarity with machine learning tooling such as MLflow, pandas, and scikit-learn.
- A track record of owning complex systems end to end, including reliability improvements, incident follow‑up, and performance tuning.
- Clear, confident communication skills, including strong technical documentation and the ability to align cross‑functional partners.
Join Our Team
We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.
Lead Data Platform Engineer in London employer: DraftKings Inc.
At DraftKings, we pride ourselves on being at the forefront of innovation in the tech industry, particularly in AI and data platforms. Our vibrant work culture fosters collaboration and creativity, providing ample opportunities for professional growth and mentorship. Located in Boston, our team enjoys a dynamic environment where bold ideas are encouraged, and every employee plays a crucial role in shaping the future of gaming technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DraftKings. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or projects that highlight your experience with Databricks, AWS, or machine learning, make sure to share them during interviews. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and infrastructure-as-code knowledge. Practice common scenarios you might face as a Lead Data Platform Engineer, so you can tackle questions with confidence.
✨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 genuinely interested in joining our team at DraftKings.
We think you need these skills to ace Lead Data Platform Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and technology shine through. We love seeing candidates who are excited about shaping the future with us, so don’t hold back on sharing your vision!
Tailor Your Experience:Make sure to highlight your relevant experience in machine learning platforms and data engineering. Use specific examples that align with what we’re looking for, like your hands-on work with Databricks or AWS. This helps us see how you fit into our team.
Be Clear and Concise:We appreciate clear communication, so keep your application straightforward. Avoid jargon unless it’s necessary, and make sure your technical skills and achievements are easy to spot. This will help us understand your qualifications quickly.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at DraftKings.
How to prepare for a job interview at DraftKings Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Databricks, AWS, and Terraform. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex systems and improved reliability or performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in a way that’s easy to understand. You’ll need to align with cross-functional partners, so demonstrating clear communication will show you can bridge gaps between teams.
✨Be Ready to Discuss Trends
Stay updated on the latest trends in data platforms and machine learning. Be prepared to discuss how you would apply best practices to improve platform efficiency and usability, showing that you’re not just a follower but a thought leader in the field.
