Build enterprise Databricks foundations with Unity Catalog and Terraform as a Senior Platform Engineer. Own secure, reliable, cost-efficient Lakehouse operations. This senior platform-first role supports data engineers, analysts, and data scientists across McAfee. You will administer workspaces, compute, governance, and deployment pipelines. You will also automate operations, optimize performance and spending, and guide platform standards. Key Responsibilities:
Own Databricks environments across development, test, and production Administer Unity Catalog and fine-grained access controls Design CI/CD pipelines using Asset Bundles and Terraform Automate provisioning, secrets, token rotation, and drift detection Define monitoring, incident response, and platform documentation Requirements:
7+ years in data engineering, platform, or DevOps roles 3+ years administering enterprise Databricks environments Expertise with Unity Catalog, clusters, warehouses, and Workflows Strong Python, SQL, PySpark, and Spark tuning skills Experience securing sensitive data platforms and major cloud infrastructure Apply Databricks, Unity Catalog, Terraform, and automation expertise to strengthen McAfee’s enterprise Lakehouse platform.
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Senior Databricks Platform Engineer in Winnipeg employer: Univedge Consulting LLC
Univedge Consulting LLC offers a dynamic work environment where employees can engage in meaningful analytics that directly influence retention strategies. The company emphasizes collaboration with Data Engineering to modernize reporting processes, providing opportunities for professional growth and skill enhancement. Employees benefit from a remote work culture that supports work-life balance while contributing to impactful projects.
