At a Glance
- Tasks: Design and operate cutting-edge Databricks infrastructure for machine learning workflows.
- Company: Join DraftKings, a leading tech company shaping the future of AI in gaming.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact on customer experiences.
- Qualifications: 3+ years in ML or Data Engineering, with hands-on Databricks experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
The Crown Is Yours
As a Senior Data Platform Engineer, you’ll help build the backbone of DraftKings’ machine learning capabilities. You’ll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data-driven decision‑making at scale.
What you’ll do as a Senior Data Platform Engineer:
- Own and operate our Databricks infrastructure to ensure performance, reliability, and cost‑efficiency.
- Build and manage cloud infrastructure using AWS and infrastructure‑as‑code tools like Terraform.
- Architect and document scalable systems that support reproducible and automated ML workflows.
- Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs.
- Lead complex engineering projects from design through implementation and long‑term support.
- Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices.
- Champion technical excellence through peer reviews, mentorship, and deep documentation.
What you’ll bring:
- At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles.
- Proven hands‑on experience with Databricks in a production environment.
- Strong knowledge of infrastructure‑as‑code, especially with Terraform or Pulumi.
- Proficiency with AWS and container technologies such as Docker and Kubernetes.
- Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit‑learn).
- A track record of owning and operating complex systems at scale.
- Strong communication skills with the ability to produce clear, technical documentation.
- Experience working cross‑functionally in fast‑paced, collaborative environments.
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.
Senior Data Platform Engineer employer: DraftKings Inc.
At DraftKings, we pride ourselves on being at the forefront of innovation in the tech industry, particularly in AI and machine learning. Our vibrant work culture fosters collaboration and creativity, providing employees with ample opportunities for professional growth and development. Located in Boston, our team enjoys a dynamic environment where bold ideas are encouraged, and every contribution is valued, making it an exciting place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at DraftKings on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role like Senior Data Platform Engineer. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the technical interview by brushing up on your Databricks and AWS skills. We recommend setting up a mini-project that showcases your ability to build and manage cloud infrastructure. This hands-on experience will not only boost your confidence but also give you something tangible to discuss during the interview.
✨Tip Number 3
Showcase your collaboration skills! Since this role involves working with various teams, be ready to share examples of how you've successfully collaborated in the past. Highlighting your ability to work cross-functionally will demonstrate that you're a great fit for DraftKings' innovative culture.
✨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 your enthusiasm for joining the DraftKings team. Let’s shape the future together!
We think you need these skills to ace Senior Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Platform Engineer. Highlight your experience with Databricks, AWS, and infrastructure-as-code tools like Terraform. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how you can contribute to shaping the future at DraftKings. Be genuine and let your personality come through.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your hands-on experience with ML workflows and cloud infrastructure. We love seeing real-world applications of your skills.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at DraftKings Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, AWS, and Terraform. Brush up on your Python skills and be ready to discuss how you've used these technologies in past projects. Being able to share specific examples will show that you’re not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Scientists and ML Engineers, be prepared to talk about your experience in cross-functional teams. Share stories that highlight your ability to communicate technical concepts clearly and how you’ve contributed to team success in fast-paced environments.
✨Demonstrate Problem-Solving Abilities
Think of a few complex engineering challenges you’ve faced and how you tackled them. Be ready to discuss your thought process and the steps you took to ensure performance and reliability in your solutions. This will demonstrate your critical thinking and technical excellence.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions about DraftKings’ approach to AI and machine learning. Ask about their current projects or future plans for the data platform. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.
