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# LEAD DATA PLATFORM ENGINEER

- **Company:** DraftKings
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Continuous Delivery, Continuous Integration, Information Engineering, Data Infrastructure, Python (Programming Language), Machine Learning, Performance Tuning, Pulumi, Pandas, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Terraform, Docker, Databricks
- **Published:** May 23, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=138e5c0fdbd5bbf3

## About the Role

Do you have experience in Terraform?, * 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.

## Description

* 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.


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