Senior Data Platform Engineer
Build and run the ML platform backbone at DraftKings: owning Databricks and AWS infrastructure as code (Terraform) so Data Science and ML teams get automated, reproducible workflows. Day to day it's platform operations, scaling, cost efficiency, and close collaboration with data/ML and infra teams.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles
- Hands-on experience with Databricks in a production environment
- Strong knowledge of infrastructure-as-code (Terraform or Pulumi)
- Proficiency with AWS and container technologies (Docker, Kubernetes)
- Solid Python skills and familiarity with ML libraries/tooling (MLflow, pandas, scikit-learn)
- Track record of owning and operating complex systems at scale
- Strong communication skills and ability to produce clear technical documentation
- Experience working cross-functionally in fast-paced, collaborative environments
- May be required to obtain a state-issued gaming license as a condition of employment
Full description
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.
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.
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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
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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