First seen by our source: just now
Azure Databricks Platform engineer
@ BULL-IT SOLUTIONS LTD
Toronto, Ontario
Overview
BULL-IT SOLUTIONS LTD is hiring an experienced Azure Databricks Platform Engineer to design, implement, administer and automate enterprise-scale Azure Databricks environments. The role covers workspace administration, Unity Catalog governance, Azure integrations, networking, CI/CD and monitoring across development, UAT and production.
Responsibilities:
- Design, configure and administer Azure Databricks workspaces across environments
- Manage compute, cluster policies, jobs, user access, monitoring and cost controls
- Implement and administer Unity Catalog and secure integrations with Azure services
- Build automation with Python, PowerShell, Bash, Terraform or Bicep and CI/CD tooling
Requirements summary:
- Experience administering Azure Databricks at enterprise scale
- Knowledge of Unity Catalog, Azure identity and Azure networking
- Scripting and infrastructure-as-code skills
- Experience with CI/CD and platform monitoring tools
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- Not provided
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
BULL-IT SOLUTIONS LTD
| Field | Value |
|---|---|
| Open jobs on Jobsy | 6 |
• 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.
Journal
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