At a Glance
- Tasks: Design and operate cutting-edge Databricks infrastructure for machine learning workflows.
- Company: Join DraftKings, a leading digital sports entertainment and gaming company.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on mentorship and technical excellence.
- Why this job: Shape the future of AI and data-driven decision-making in a dynamic team.
- Qualifications: 3+ years in ML or Data Engineering, strong skills in AWS and Databricks.
The predicted salary is between 70000 - 90000 £ 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.
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.
DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world’s favourite games and betting experiences.
Senior Data Platform Engineer employer: National Geographic
At DraftKings, we pride ourselves on being an innovative employer that champions creativity and collaboration. Our vibrant work culture in Boston fosters continuous learning and growth, offering employees the chance to work with cutting-edge technology in a fast-paced environment. With a commitment to professional development and a focus on building the future of AI-driven solutions, we provide a rewarding experience for those looking to make a meaningful impact in the tech industry.
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 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 GitHub with projects related to Databricks or AWS, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with infrastructure-as-code and ML workflows. We want to see how you think and solve problems!
✨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 the DraftKings team.
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. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any cool projects related to ML workflows or cloud infrastructure, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on the details.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our innovative team at DraftKings!
How to prepare for a job interview at National Geographic
✨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 challenges you’ve faced in previous roles, especially related to scaling systems or improving platform usability. Be ready to discuss your thought process and the steps you took to overcome these obstacles. This will illustrate your critical thinking and engineering prowess.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions about DraftKings’ approach to AI and machine learning. Ask about their future projects or how they measure success in their data platforms. This shows your genuine interest in the company and the role, making you stand out as a candidate.
