Senior Data Platform Engineer

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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DraftKings Inc.

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1001 - 5000 employees

Founded 2012

🎮 Gaming

⚽ Sports

👥 B2C

Gaming • Sports • B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

📋 Description

• Own and operate 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 supporting reproducible and automated ML workflows • Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infrastructure 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

🎯 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 • Experience working cross-functionally in fast-paced, collaborative environments

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