Lead Data Platform Engineer
Description
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.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- Health Benefits: Comprehensive health benefits, including a fully paid medical plan.
- Wellbeing Program: Free access to programs such as free therapy sessions with Lyra Mental Health Solution, Lyra Employee Assistance Program, the Calm App, Virtual Yoga Classes, and many more.
- Parental Leave & Support: 14 weeks of 100% paid parental leave to all global team members and offer workplace lactation support.
- Family Planning: Benefits supporting family planning, including adoption, surrogacy, fertility treatments, or other family planning.
- Financial Planning: Programs like Origin Financial to help plan for financial future and success.
