Azure Cloud Platform Engineer with Azure Databricks, Azure Data Factory deployment experience
- Toronto, ON, Canada
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Job details
- Job type
- Contract
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- English
- Posted
Original job description
Azure Cloud Platform Engineer with Azure Databricks, Azure Data Factory deployment experience
Toronto, CA/ Waterloo Canada – Onsite
Long Term Contract
Job Description:
The Manufacturers Life Insurance:
- Work Site: Toronto - Day 1 Onsite
- Work Site: Waterloo Canada - Day 1 Onsite
Senior Azure Platform Engineer:
- The customer is looking for a Senior, hands-on Azure Platform Engineer with strong platform expertise across Azure Databricks, Azure Data Factory, Terraform, GitHub Actions, networking, access management, and platform troubleshooting.
- The candidate should be capable of operating independently, troubleshooting complex platform issues, and guiding junior members within the customer squad, effectively bridging the technical gap between the customer's senior architect and junior engineers.
- Mandatory Technical Skills
- Candidates should demonstrate strong hands-on experience in:
- Terraform, including modules and deployment of Azure resources
- GitHub Actions and Jenkins for CI/CD and automated deployments
- Azure Databricks (ADB), including clusters, workflows, deployments and platform troubleshooting
- Azure Data Factory (ADF), including pipelines and Linked Services
Deployment/provisioning of Storage Accounts, ADF and ADB:
- Azure networking and connectivity troubleshooting
- Access provisioning, permissions and authorization-related troubleshooting
- Disaster Recovery, particularly scenarios involving Azure Databricks or other core platform services
- Troubleshooting Capability Expected
- The candidate should be able to explain how they would diagnose and resolve real platform issues, for example:
- Connectivity failures between Azure Storage Accounts and Azure Data Factory
- Identifying missing or failing network/security rules
- ADF pipeline failures, including unauthorized-access issues
- Azure Databricks cluster/workflow/platform issues
- Access and permission-related problems
- Recovery approach when Azure Databricks or other critical platform components become unavailable
- The expectation is not simply to identify an issue, but to explain the troubleshooting approach, identify the root cause, and describe how the issue was resolved.
- Role Boundaries - What the Customer Is NOT Looking For
- This is not a traditional Infrastructure Engineer or Site Reliability Engineer (SRE) position.
- Experience primarily around the following is not sufficient for this requirement:
- VM creation/administration
- VM backup and maintenance
- Kubernetes cluster administration
- General infrastructure management without strong Azure data-platform experience
- The Platform Engineer will primarily support the environment used by Data Engineers and Power BI teams, particularly across Azure Databricks, Azure Data Factory, Storage and associated Azure services.
More about this job
Responsibilities
Deploy and support Azure data-platform services, particularly Azure Databricks, Azure Data Factory, and Storage, using Terraform and CI/CD tools. Troubleshoot platform, networking, access, and disaster-recovery issues, while working independently and guiding junior engineers.
Requirements
Requires strong hands-on experience with Terraform, GitHub Actions or Jenkins, Azure Databricks, Azure Data Factory, Azure resource provisioning, networking, and access management. The candidate must be able to diagnose complex platform issues, identify root causes, and explain resolutions, with experience supporting data engineering and Power BI environments.
Skills
- Azure
- Azure Databricks
- Azure Data Factory
- Terraform
- GitHub Actions
- Jenkins
- Azure Networking
- Access Management
- CI/CD
- Platform Troubleshooting
- Disaster Recovery
- Storage Accounts
- Data Pipelines
- Linked Services
- Authorization
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
Keywords
- Azure
- Azure Databricks
- Azure Data Factory
- Terraform
- GitHub Actions
- Jenkins
- CI/CD
- Automated Deployments
- Azure Networking
- Connectivity Troubleshooting
- Access Provisioning
- Permissions
- Authorization
- Storage Accounts
- Databricks Clusters
- Databricks Workflows
- ADF Pipelines
- Linked Services
- Platform Troubleshooting
- Disaster Recovery
- Root Cause Analysis
- Data Engineering
- Power BI
- Cloud Platform Engineering
- On-Site Support