Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

187,896 listings · 20,057 employers Counted Oct 31, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,857 listings), Shoppers Drug Mart (3,764 listings), Walmart Canada (3,053 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

30,726 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	15,860
CAD / year	80,000.00	12,291
USD / year	100,000.00	755
USD / hour	20.00	626
CAD / month	5,131.00	49
CAD / week	937.50	28
CAD / day	114.00	12

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Ontario

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Added 18 hours ago
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Bolton, ON
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Bolton, ON
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Added 18 hours ago
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Engineering Team Leader (PET HR)
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Bolton, ON
- Full-time

Myticas Consulting

Azure Databricks Cloud Migration & Platform Engineer (36101)

Toronto, ON, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 29, 2026
Experience: 3+ years of hands-on Azure Cloud Engineering, Infrastructure Engineering, or Platform Engineering experience.
Posting language: English
Posted: Oct 30, 2026

Original job description

Azure Databricks Cloud Migration & Platform Engineer

Position Type: Contract

Opportunity

We are seeking an experienced Azure Databricks Cloud Migration & Platform Engineer to support a large-scale enterprise cloud migration and modernization initiative.

The ideal candidate will have strong hands-on experience in Azure cloud infrastructure, Azure migration, platform engineering, and deploying Azure Databricks from the ground up in a greenfield enterprise environment.

This is a hands-on Platform Engineering role, requiring someone who has personally deployed, configured, secured, and operationalized Azure Databricks environments, rather than simply developing data pipelines or working within an existing Databricks platform.

The successful candidate will collaborate with cloud architects, infrastructure engineers, security teams, and data engineers to build a secure, scalable, production-ready Azure Databricks platform while supporting broader Azure cloud migration activities.

Key Responsibilities

Azure Databricks Platform Engineering

Deploy, configure, and operationalize Azure Databricks in a greenfield enterprise environment.
Design and provision Databricks workspaces, compute, storage integrations, networking, identity, and security configurations.
Configure Unity Catalog, workspace permissions, access controls, managed identities, and governance capabilities.
Integrate Databricks with Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Key Vault, Microsoft Entra ID, and other Azure services.
Implement secure connectivity using Azure VNets, Private Endpoints, Private DNS, and network isolation.
Support platform monitoring, troubleshooting, performance optimization, and production readiness.

Azure Cloud Migration & Infrastructure

Support enterprise Azure cloud migration activities, including assessment, planning, deployment, validation, and post-migration support.
Provision and configure Azure infrastructure within Azure Landing Zones.
Identify and resolve infrastructure, networking, connectivity, and security dependencies.
Support migration runbooks, deployment procedures, change management, and rollback planning.
Troubleshoot Azure infrastructure and Databricks platform issues.

Infrastructure Automation & DevOps

Develop and maintain Infrastructure-as-Code (IaC) using Terraform and/or Azure Bicep.
Automate Azure infrastructure and Databricks workspace deployments.
Develop deployment and configuration scripts using PowerShell, Bash, Python, and Azure CLI.
Support CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tools.
Establish reusable deployment templates and enterprise platform engineering standards.

Collaboration & Delivery

Work closely with cloud architects, infrastructure teams, security specialists, and data engineers.
Participate in technical design, migration planning, deployment reviews, and troubleshooting.
Document platform configurations, deployment procedures, and operational requirements.
Support production deployment, knowledge transfer, and ongoing platform operations.

Required Skills & Experience

Must-Have Qualifications

Proven hands-on experience deploying Azure Databricks from scratch in a GREENFIELD enterprise environment.
Strong Azure Databricks Platform Engineering experience, including workspace deployment, configuration, security, networking, and production readiness.
Experience with Azure cloud migration and enterprise Azure infrastructure deployments.
3+ years of hands-on Azure Cloud Engineering, Infrastructure Engineering, or Platform Engineering experience.
Strong knowledge of Azure Landing Zones, Azure networking, identity, storage, and security.
Experience integrating Databricks with ADLS Gen2, Azure Key Vault, Microsoft Entra ID, and Azure networking services.
Experience with Databricks Unity Catalog, workspace administration, permissions, and access controls.
Hands-on Infrastructure-as-Code experience with Terraform and/or Bicep.
Knowledge of Azure VNets, subnets, NSGs, Private Endpoints, Private DNS, and routing.
Experience with Azure CLI, PowerShell, Bash, or Python scripting.
Familiarity with CI/CD pipelines, Azure DevOps, or GitHub Actions.
Strong troubleshooting, documentation, and communication skills.

Nice-to-Have Skills

Experience deploying Databricks across Development, Test, and Production environments.
Databricks Terraform Provider, Databricks CLI, or Databricks Asset Bundles.
Familiarity with Delta Lake, Apache Spark, PySpark, and enterprise lakehouse architecture.
Experience with Azure Data Factory, Azure Synapse Analytics, or Microsoft Fabric.
Knowledge of cloud governance, platform monitoring, cost optimization, and FinOps.
Microsoft Azure or Databricks certifications.

Ideal Candidate Profile We are looking for a *hands-on Azure Databricks Platform Engineer who has built and deployed enterprise Databricks environments from the ground up

,

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More about this job

Responsibilities

Deploy, secure, configure, and operationalize a greenfield Azure Databricks platform, including its workspaces, networking, identity, storage integrations, governance, and production operations. Support enterprise Azure migration and infrastructure delivery through automation, troubleshooting, documentation, and collaboration with architecture, security, infrastructure, and data teams.

Requirements

Requires hands-on experience building Azure Databricks environments from scratch in an enterprise setting, along with Azure migration and infrastructure engineering experience. Candidates should have at least three years of Azure cloud, infrastructure, or platform engineering experience and practical knowledge of Azure networking, security, Unity Catalog, IaC, scripting, and CI/CD.

Skills

Azure Databricks Platform Engineering
Azure Cloud Migration
Azure Infrastructure
Azure Landing Zones
Terraform
Azure Bicep
Unity Catalog
Azure Networking
Azure Data Lake Storage Gen2
Azure Key Vault
Microsoft Entra ID
Infrastructure As Code
Azure DevOps
GitHub Actions
PowerShell
Python

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Cloud Migration
Platform Engineering
Azure Landing Zones
Terraform
Azure Bicep
Infrastructure As Code
Unity Catalog
Azure Data Lake Storage Gen2
Azure Key Vault
Microsoft Entra ID
Azure Virtual Networks
Private Endpoints
Private DNS
Network Security Groups
Azure CLI
PowerShell
Bash
Python
Azure DevOps
GitHub Actions
CI/CD
Databricks Terraform Provider
Databricks CLI
Databricks Asset Bundles
Delta Lake
Apache Spark
PySpark
Azure Data Factory
FinOps

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