Azure & Databricks DevOps Engineer

We are currently requesting resumes for the following position: Azure & Databricks DevOps Engineer Job# 26-086 Resume Due Date: September 2, 2026 (5:00PM EST) Number of Vacancies: 1 Level: MP5 Contract Duration: 12 Months (renewable) Hours of work: 35 Hours Location: 1908 Colonel Sam Dr, Oshawa (Hybrid – 3 days remote) We are seeking an experienced Azure & Databricks DevOps Engineer to design, automate, secure, and support cloud-based data platforms and DevOps capabilities across Microsoft Azure and Databricks. This role will be responsible for building scalable infrastructure, implementing CI/CD pipelines, managing platform reliability, and enabling data engineering teams to deliver high-quality analytics and data products efficiently. The ideal candidate has strong hands-on experience with Azure cloud services, Azure DevOps or GitHub Actions, Terraform, Databricks workspace administration, Unity Catalog, CI/CD automation, security controls, monitoring, and production support. • Design, deploy, and manage cloud infrastructure on Microsoft Azure using Infrastructure as Code. • Build and maintain CI/CD pipelines for data engineering, analytics, and platform services. • Administer and support Azure Databricks workspaces, clusters, jobs, repos, workflows, and permissions. • Implement and manage Databricks Unity Catalog, including catalogs, schemas, external locations, storage credentials, and access controls. • Automate deployment of Databricks notebooks, jobs, workflows, libraries, clusters, policies, and workspace configurations. • Develop reusable DevOps frameworks and deployment templates for data platform teams. • Manage Azure services such as: • Azure Data Lake Storage Gen2 • Azure Key Vault • Azure Synapse Analytics • Azure Data Factory • Azure Monitor / Log Analytics • Azure Functions • Implement security best practices including RBAC, managed identities, service principals, secrets management, private endpoints, network security, and least-privilege access. • Support production operations, incident response, troubleshooting, monitoring, alerting, and performance optimization. • Collaborate with data engineers, architects, security teams, product owners, and application teams. • Manage environment promotion across development, UAT, and production environments. • Support cost monitoring and optimization for Azure and Databricks workloads. • Create and maintain technical documentation, runbooks, deployment guides, and operational procedures. Key Accountabilities Qualifications • Proven experience as a DevOps Engineer, Cloud Engineer, Data Platform Engineer. • Strong hands-on experience with Microsoft Azure cloud services. • Hands-on experience with Azure Databricks administration and deployment automation. Experience building CI/CD pipelines using one or more of: o Azure DevOps Pipelines o GitHub Actions o Jenkins o Strong Infrastructure as Code experience using: o Terraform o Experience with Databricks platform components, including: o Workspaces o Clusters o Jobs / Workflows o Repos o Libraries o Secret scopes o Cluster policies o Unity Catalog o Strong scripting or programming skills using: o Python o PowerShell o Bash o SQL • Understanding of cloud identity and access management, including Azure AD / Microsoft Entra ID, RBAC, service principals, managed identities, and group-based access control. • Experience with monitoring and logging tools such as Azure Monitor, Log Analytics, Application Insights, or Databricks system tables. • Familiarity with Git branching strategies, pull requests, code reviews, and release management. • Strong troubleshooting, communication, and documentation skills.