Azure Databricks DevOps Engineer - Hybrid & CI/CD

Cpus Engineering Staffing Solutions Inc.; Oshawa; Hybrid; CAD 124,000 - 131,000; Full time

Job summary

CPUS Engineering Staffing Solutions Inc. in Oshawa is 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.

Qualifications

• Proven DevOps or cloud engineering experience.
• Strong hands-on experience with Microsoft Azure cloud services.
• Hands-on Databricks administration and deployment automation.
• Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins.
• Strong IaC experience using Terraform.
• Understanding of cloud identity and access management (Azure AD/Microsoft Entra ID).

Responsibilities

• Design, deploy, and manage cloud infrastructure on Microsoft Azure using IaC.
• Build and maintain CI/CD pipelines for data engineering and platform services.
• Administer and support Azure Databricks workspaces, clusters, jobs, repos, and permissions.
• Implement Unity Catalog and manage catalogs, schemas, and access controls.
• Automate deployment of notebooks, jobs, workflows, libraries, and policies.
• Create reusable DevOps templates for data platform teams.
• Manage Azure services like Data Lake, Key Vault, Synapse, Data Factory, Monitor, Functions.
• Collaborate with data engineers, security teams, and product owners.

Skills

Azure cloud services

CI/CD pipelines

Databricks administration

Infrastructure as Code

Security & IAM

Tools

Terraform

Azure DevOps

GitHub Actions

Jenkins

Job description

CPUS Engineering Staffing Solutions Inc. in Oshawa is 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.