Senior Data Platform Engineer

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.

Experience working cross-functionally in fast-paced, collaborative environments #LI-SP1 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.

About DraftKings

• 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 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

Responsibilities

• 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

Requirements

• 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