26-086 - Technical Specialist

Morson Human Resources Limited; Oshawa; Hybrid; CAD 124,000 - 138,000; Full time

Job summary

Morson Human Resources Limited is seeking an experienced Azure & Databricks DevOps Engineer to design, implement, and secure cloud-based data platforms on Azure and Databricks. You will build scalable infrastructure, automate deployments, and support data engineering teams delivering analytics and data products.

The role requires hands-on expertise with Azure services, Databricks, Terraform, CI/CD pipelines, Unity Catalog, and security controls. Hybrid work with 3 days remote across Canada.

Qualifications

• Proven experience as a DevOps Engineer, Cloud Engineer, Data Platform Engineer.
• Strong hands-on experience with Microsoft Azure cloud services.
• Understanding of cloud identity and access management (Azure AD/Microsoft Entra ID) and RBAC.
• Experience with monitoring and logging tools such as Azure Monitor or Log Analytics.
• Familiarity with Git branching, PRs, code reviews, and release management.
• Hands-on experience with Azure Databricks administration and deployment automation.
• Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and Terraform.

Responsibilities

• Design, deploy, and manage cloud infrastructure on Microsoft Azure using IaC.
• 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, and access controls.
• Automate deployment of Databricks notebooks, jobs, workflows, libraries, and configurations.
• Develop reusable DevOps frameworks and deployment templates for data teams.
• Manage Azure services such as Azure Data Lake Storage Gen2, Key Vault, Synapse, Data Factory, Monitor, and Functions.
• Implement security best practices including RBAC, managed identities, secret management, private endpoints, and least-privilege access.
• Support production operations, incident response, troubleshooting, monitoring, alerting, and performance optimization.
• Collaborate with data engineers, architects, security, product owners, and apps teams.

Skills

Azure cloud services

Databricks

CI/CD pipelines

Terraform

Security controls

Monitoring & logging

Python

PowerShell

Git/GitHub Actions

Tools

Azure DevOps

GitHub Actions

Databricks

Unity Catalog

Terraform

Jenkins

Job description

Job Overview

Title: Data and DevOps Engineer Technical Specialist

Resume Due Date:September 2nd, 2026 (5:00PM EST)

Number of Vacancies: 1

Level: MP5, $90 - $100/hr INC

Duration: 12 Months

Hours of work:35 Hours

Location: CHQ – 1908 Colonel Sam Dr.(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.

Qualifications

• Proven experience as a DevOps Engineer, Cloud Engineer, Data Platform Engineer.


• Strong hands‑on experience with Microsoft Azure cloud services.
  
  
  
  • 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.
  
  
  • Hands‑on experience with Azure Databricks administration and deployment automation.
  
  
  • Experience building CI/CD pipelines using one or more of:
    
    
    
    • Azure DevOps Pipelines
    
    
    • GitHub Actions
    
    
    • Jenkins
    
    
    • Strong Infrastructure as Code experience using:
      
      
      
      • Terraform
      
      
      
      
    
    
    • Experience with Databricks platform components, including:
      
      
      
      • Workspaces
      
      
      • Clusters
      
      
      • Jobs / Workflows
      
      
      • Repos
      
      
      • Libraries
      
      
      • Secret scopes
      
      
      • Cluster policies
      
      
      • Unity Catalog
      
      
      
      
    
    
    • Strong scripting or programming skills using:
      
      
      
      • Python
      
      
      • PowerShell
      
      
      • Bash
      
      
      • SQL