LEAD DATA PLATFORM ENGINEER

DraftKings
London, UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Cloud Computing Continuous Delivery Continuous Integration Information Engineering Data Infrastructure Python (Programming Language) Machine Learning Performance Tuning Pulumi Pandas Scikit Learn
+6 more
Kubernetes Infrastructure Automation Frameworks Machine Learning Operations Terraform Docker Databricks

Job 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.

Requirements

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.

About the company

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., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:55 min

Contrasting Terraform with Pulumi and cloud-specific tools

Devlin Duldulao · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · WWC 2024

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

3:20 min

Overview of infrastructure as code tools

Alexander Bubeck · WWC 2023

6:58 min

Analyzing production code coverage data using pandas

Markus Harrer Markus Harrer · WWC 2021

Videos

See all

Related articles

See all