The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.
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.
What you'll do as a Senior Data Platform Engineer
What you'll bring
#LI-SP1
Join Our Team
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.
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
- 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
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
#LI-SP1
Join Our Team
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.
Similar Jobs at DraftKings
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Build scalable, production-ready Python services and internal tools that surface engineering metrics and AI impact. Own end-to-end features, partner with leadership and data teams, define measurements, and drive cross-team technical direction and observability.
Top Skills:
APIsDashboardingData PipelinesData StoresObservabilityPython
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Build scalable, data-driven internal tools and services in Python to measure AI impact. Lead technical strategy, own end-to-end features from requirements through deployment and observability, partner with engineering and data teams, set squad-level technical direction, and mentor junior engineers.
Top Skills:
APIsDashboarding/VisualizationData PipelinesData StoresObservabilityPython
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Build scalable, data-driven internal tools and services in Python; lead technical strategy to measure AI impact across tooling, data pipelines, and dashboards; own end-to-end features from requirements to observability; partner with engineering, data, and delivery teams; set squad technical direction and mentor junior engineers.
Top Skills:
APIsDashboards/VisualizationData PipelinesData StoresPython
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.

