Databricks Finops And Automation Engineer

Optimize Databricks costs and automate delivery remotely in Canada using FinOps, Terraform, CI/CD, and platform administration skills.Mindtris is seeking a Senior Databricks Data Platform Engineer for a one-year contract with possible extension. The role emphasizes platform engineering rather than traditional pipeline development, with responsibility for cost-efficient Lakehouse operations. You will automate deployments, improve resource use, and enable reliable engineering and data science workflows.Key Responsibilities:
Monitor Databricks usage and costs through system tablesOptimize clusters, autoscaling, Photon, and serverless computeImplement budgets, alerts, tagging, and cost governanceDevelop CI/CD pipelines with Asset Bundles and GitHub ActionsSupport DBU forecasting and capacity planningRequirements:
Demonstrated Databricks cost optimization and FinOps experienceSeven-plus years in data engineering, platforms, or DevOpsThree-plus years of enterprise Databricks engineering experienceExperience with Azure DevOps, GitHub Actions, or similarExperience with Azure, AWS, or GCP environmentsUse FinOps discipline, CI/CD automation, and cloud expertise to improve Databricks platform efficiency as a senior engineer.
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