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Zodiac Solutions, Inc

Azure Databricks Platform engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Job Title: Azure Databricks Platform engineer

Location: Toronto, ON Hybrid

Job Type: Full-Time Permanent

We are looking for an experienced Azure Databricks Platform Engineer to design, implement, administer, automate, and support enterprise-scale Azure Databricks environments.

The engineer will work closely with data engineering, cloud infrastructure, security, networking, DevOps, and application teams to provide a secure, scalable, governed, reliable, and cost-efficient Databricks platform.

Design, configure, administer, and support Azure Databricks workspaces across development, testing/UAT, and production environments.

Manage Databricks compute, cluster policies, jobs, workflows, user access, monitoring, and cost controls.

Implement and administer Unity Catalog, including catalogs, schemas, permissions, storage credentials, and external locations.

Integrate Azure Databricks with ADLS Gen2, Azure Data Factory, Azure SQL, Azure Key Vault, and managed identities. Implement secure authentication and authorization using Microsoft Entra ID, Azure RBAC, managed identities, and Key Vault.

Work with Azure networking concepts including VNets, NSGs, private endpoints, DNS, routing, VPN/ExpressRoute, and hub-and-spoke connectivity.

Build automation using Python, PowerShell, Bash, Terraform/Bicep and CI/CD tooling to reduce manual platform activities.

Infrastructure-as-code and scripting are also highlighted in the related internal Databricks requirement.

Support CI/CD and release management using Azure DevOps, GitHub Actions, or equivalent tooling.

Establish platform monitoring and observability using Azure Monitor, Log Analytics, Application Insights, Grafana, Prometheus, Datadog, Dynatrace, or New Relic as applicable.

Monitor platform availability, performance, capacity, and operational health.

Troubleshoot complex Databricks, Azure infrastructure, storage, identity, networking, and connectivity issues. Implement platform-level security, governance, access controls, and operational standards.

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More about this job

Responsibilities

Design, administer, automate, and support enterprise Azure Databricks environments, including workspaces, compute, jobs, Unity Catalog, security, governance, and cost controls. Integrate Databricks with Azure services, build infrastructure automation and CI/CD processes, monitor platform health, and troubleshoot complex infrastructure and connectivity issues.

Requirements

The role calls for experience operating enterprise-scale Azure Databricks platforms and working across data engineering, cloud infrastructure, security, networking, DevOps, and application teams. Relevant capabilities include Azure identity and networking, infrastructure as code and scripting, CI/CD, observability, platform security, and troubleshooting; no specific education requirement is stated.

Skills

Azure Databricks
Unity Catalog
Azure Data Lake Storage Gen2
Azure Data Factory
Azure SQL
Azure Key Vault
Microsoft Entra ID
Azure RBAC
Azure Networking
Python
PowerShell
Bash
Terraform
Bicep
CI/CD
Azure DevOps

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Databricks Workspaces
Unity Catalog
Azure Data Lake Storage Gen2
Azure Data Factory
Azure SQL
Azure Key Vault
Microsoft Entra ID
Azure RBAC
Managed Identities
Azure Virtual Networks
Network Security Groups
Private Endpoints
DNS
VPN
ExpressRoute
Hub-And-Spoke Connectivity
Python
PowerShell
Bash
Terraform
Bicep
Infrastructure As Code
CI/CD
Azure DevOps
GitHub Actions
Azure Monitor
Log Analytics
Application Insights
Grafana

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