Senior Data Platform Engineer
Core
Design, scale, and operate the Databricks and cloud infrastructure powering automated, reproducible ML workflows.
Role type
Senior Data Platform Engineer
Builds
Databricks infrastructure and cloud systems for ML workflows
Domain
Gaming / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
Databricks production experience, Terraform, AWS, Docker, Kubernetes, Python, ML libraries (MLflow, pandas, scikit-learn), system ownership at scale
Preferred skills
Infrastructure-as-code (Pulumi), technical documentation, cross-functional collaboration
Technologies
Databricks, AWS, Terraform, Pulumi, Docker, Kubernetes, MLflow, pandas, scikit-learn
Responsibilities
Own and operate Databricks infrastructure for performance and cost-efficiency; Build and manage cloud infrastructure using AWS and IaC; Architect scalable systems for automated ML workflows; Collaborate with Data Science and ML Engineering teams; Lead complex engineering projects from design to support; Improve platform usability and scalability; Champion technical excellence via peer reviews and mentorship
Seniority
Senior, hands-on IC
