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London, UK, United Kingdom
Onsite
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.
As a Lead Data Platform Engineer, you’ll design, build, and operate the machine learning platform and Databricks infrastructure that powers scalable, reliable data science at DraftKings. You’ll own the backbone that makes model development, training, and deployment fast, repeatable, and cost-aware-so teams can move from ideas to impact without friction. Working alongside Data Science, Machine Learning, Data Engineering, and Infrastructure partners, you’ll turn evolving use cases into durable platform capabilities. You’ll lead projects end to end, strengthening reliability, automation, and developer experience across the stack.
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.
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.
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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.