Key skills
Machine LearningMLData EngineeringAnalyticsDatabricksAWSTerraformKubernetesDockerIAMCI/CDCommunicationCollaboration
About this role
E Source is a research, data/analytics, and technology-focused professional services firm dedicated to the Utility industry in North America. They are seeking a Databricks Platform Engineer to own and evolve a production-grade Databricks environment, collaborating with various engineering teams to design scalable architecture and improve developer experience.
Responsibilities:
- Design, build, and operate a scalable Databricks platform supporting data, analytics, and ML workloads
- Own Databricks environments end to end, including workspaces, clusters, Unity Catalog, permissions, and AWS integrations
- Automate infrastructure and platform configuration using Infrastructure as Code
- Build and maintain CI/CD pipelines to support reliable data and ML delivery
- Embed security, governance, and observability into the platform by default
- Optimize platform performance and cost through monitoring and proactive tuning
- Enable self-service through reusable tools, templates, and best practices
- Partner with engineers and data scientists to continuously improve the platform experience
Requirements:
- 5+ years of experience in platform engineering, DevOps, or infrastructure-focused engineering roles
- Strong hands-on experience administering Databricks, including workspaces, clusters, jobs, and Unity Catalog
- Deep understanding of cloud infrastructure, with AWS experience preferred
- Proven experience automating infrastructure using Infrastructure as Code tools such as Terraform or similar
- Experience building and maintaining CI/CD pipelines for data, application, or ML workflows
- Familiarity with Docker and Kubernetes in production environments
- Strong grasp of security, IAM, networking, and platform governance best practices
- Experience supporting data engineering, analytics, and machine learning teams
- Strong collaboration and communication skills across engineering and data functions
- Ownership mindset with a bias toward automation, reliability, and continuous improvement
- BS/MS in Computer Science, Engineering, or related field (or equivalent work experience)