At a Glance
- Tasks: Lead the development of cutting-edge data platforms and optimise machine learning workflows.
- Company: Join DraftKings, a forward-thinking tech company shaping the future with AI.
- Benefits: Competitive salary, gaming license support, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on mentorship and collaboration.
- Why this job: Be at the forefront of AI innovation and make a real impact in tech.
- Qualifications: 5+ years in data engineering or machine learning, with strong AWS and Python skills.
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 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 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 member 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data platforms and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications. Practice explaining your past experiences and how they relate to the role of Lead Data Platform Engineer. Confidence is key!
✨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, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Lead Data Platform Engineer
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 share your thoughts on how AI can drive progress in your field.
Tailor Your Experience:Make sure to highlight your relevant experience in machine learning platforms and data engineering. Use specific examples that demonstrate your hands-on skills with tools like Databricks, AWS, and Terraform. We want to see how you've tackled challenges in the past!
Communicate Clearly:Strong communication is key! Ensure your application is well-structured and easy to read. We appreciate clear technical documentation, so don’t hesitate to showcase your ability to convey complex ideas simply and effectively.
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 gives you a chance to explore more about our company culture and values!
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 likely need to align with cross-functional partners, so demonstrating clear communication will show you can bridge gaps between teams.
✨Stay Current with Industry Trends
Research the latest trends in data platforms and machine learning. Be prepared to discuss how you can apply best practices to improve platform efficiency and usability at DraftKings, showing that you’re proactive about innovation.
