FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Data Platform Engineer
DraftKings Inc.. Own and operate Databricks infrastructure to ensure performance, reliability, and cost-efficiency .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing Databricks infrastructure and AWS cloud services, with a strong focus on infrastructure-as-code using Terraform. Proven ability to lead engineering projects and collaborate effectively with cross-functional teams to enhance platform performance and scalability.
Highest-signal resume keywords
Databricks ManagementAWS Cloud InfrastructureInfrastructure-As-Code (Terraform)Python ProgrammingContainer Technologies (Docker, Kubernetes)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
DatabricksAWSTerraformPulumiPythonMLflowPandasScikit-LearnDockerKubernetes
Soft Skills
Strong CommunicationMentorshipCollaboration
Industry Keywords
ML PlatformData PlatformInfrastructureData EngineeringAutomated ML Workflows
Tech Stack
Tools & technologiesAWSCloudDockerKubernetesPandasPythonScikit-LearnTerraform
About the role
Key responsibilities & impact- 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
What you’ll need- 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