Location: 8-16/month, Toronto

Length: 12 months + likely extensions

Rate: 55-75hr

Why Open: Expected vacancy

DAY-TO-DAY

- Deploy, configure, and support Azure Databricks workspaces , including Unity Catalog, cluster configuration, user provisioning, and access management.
- Build, maintain, and troubleshoot Terraform infrastructure-as-code for Azure and Databricks environments.
- Configure and support Azure networking components, including VNets, subnets, CIDR planning, peering, and firewall rules.
- Manage Azure identity and access controls , including AD Groups, Service Principals, App Registrations, and RBAC permissions.
- Diagnose and resolve issues across Terraform, Databricks, Azure networking, and platform integrations, utilizing AI-assisted development and troubleshooting tools where appropriate.

MUST-HAVES QUALIFICATIONS 1. Azure Databricks Administration

- Hands-on experience deploying and managing Databricks workspaces.
- Strong knowledge of Unity Catalog, cluster configuration, workspace governance, and SCIM/Active Directory integrations.

2. Terraform Development

- Experience writing reusable Terraform modules.
- Robust understanding of state management, provider configuration,



and troubleshooting Terraform deployment errors across Azure and Databricks.

3. Azure Infrastructure & Networking

- Experience designing and supporting VNets, subnets, CIDR allocation, VNet peering, and firewall/network security configurations.

4. Azure IAM & Security)

- Hands-on experience with Azure AD Groups, Service Principals, App Registrations, RBAC, and access governance.

5. Troubleshooting & Platform Support

- Strong root-cause analysis and debugging skills across cloud infrastructure, networking, and platform integrations.
- Experience using AI-assisted tools to accelerate troubleshooting and development workflows.

PLUSES

- Prior experience working within RBC environments .
- Familiarity with CorePipeline, Fireflow, MPP , or other RBC internal tooling.
- Experience supporting enterprise-scale data platform deployments.
- Exposure to CI/CD pipelines and DevOps automation within Azure environments.
- Databricks, Azure, or Terraform certifications.

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

📌 Cloud Engineer (Toronto)
🏢 Insight Global
📍 Toronto