Remote - United Kingdom
Actively hiring, first seen by us 3 days agoListed location: Remote - United KingdomRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Own and operate Databricks infrastructure for performance, reliability and cost
Build and manage AWS cloud infrastructure with infrastructure-as-code
Architect and document scalable systems for reproducible ML workflows
Lead complex engineering projects from design through long-term support
Improve platform usability, efficiency and scalability
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
Lead complex engineering projects from design through implementation and long-term support
Continuously assess and improve platform usability, efficiency, and scalability
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 6 and day 54.
At DraftKings, jobs usually come down by about day 33.
From 11,032 similar postings that came down, and 16 of DraftKings’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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
- 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)
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. What you’ll do as a Senior Data Platform Engineer
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
- 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
- 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
Complete your application on draftkings.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Data Platform Engineer job there since July 2026. It came down after 118 days.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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.
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
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
#LI-SP1
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Remote - United Kingdom
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.