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Platform Engineer

  • Toronto, ON, Canada

Pay Rate/Salary: $60/hr to $65/hr on Inc · Contract

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Job details

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Pay Rate/Salary: $60/hr to $65/hr on Inc
Job type
Contract
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Posting language
English
Posted

Original job description

Azure Platform Engineer

Pay Rate/Salary: $60/hr to $65/hr on Inc

Your New Company

Your New Role

  • 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 successful 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.
  • 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.

What You Need to Do

What You'll Need to Succeed:

  • Candidates should demonstrate strong hands-on experience with Terraform, including modules and deployment of Azure resources. Experience with GitHub Actions and Jenkins for CI/CD and automated deployments is required.
  • The role requires strong expertise with Azure Databricks (ADB), including clusters, workflows, deployments, and platform troubleshooting. Experience with Azure Data Factory (ADF), including pipelines and Linked Services, is also required.
  • The successful candidate will have experience deploying and provisioning Storage Accounts, Azure Data Factory, and Azure Databricks. Strong knowledge of Azure networking and connectivity troubleshooting is essential.
  • The position requires hands-on experience with access provisioning, permissions, and authorization-related troubleshooting. Experience supporting Disaster Recovery scenarios, particularly involving Azure Databricks or other core platform services, is also required.

Troubleshooting Capability Expected:

  • The successful candidate should be able to explain how they would diagnose and resolve real platform issues, including connectivity failures between Azure Storage Accounts and Azure Data Factory.
  • The role requires the ability to identify missing or failing network and security rules, troubleshoot Azure Data Factory pipeline failures including unauthorized-access issues, and resolve Azure Databricks cluster, workflow, and platform-related issues.
  • The candidate should also be able to troubleshoot access and permission-related problems and explain recovery approaches 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:

  • This is not a traditional Infrastructure Engineer or Site Reliability Engineer (SRE) position.
  • Experience primarily focused on VM creation and administration, VM backup and maintenance, Kubernetes cluster administration, or general infrastructure management without strong Azure data-platform experience is not sufficient for this requirement.

What You'll Get in Return:

  • You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment.
  • The organization is offering competitive compensation, professional development opportunities, and the chance to contribute to a modern Azure data platform supporting Data Engineering and Power BI teams.

What You Need to Do Now:

  • If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
  • If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

More about this job

Responsibilities

Support and troubleshoot the Azure data platform used by Data Engineering and Power BI teams, including Azure Databricks, Azure Data Factory, storage, networking, and access management. Provision and deploy platform resources, resolve complex platform issues, support disaster recovery, and guide junior engineers.

Requirements

Candidates need strong hands-on experience with Terraform, Azure Databricks, Azure Data Factory, and CI/CD tools such as GitHub Actions and Jenkins. They must also be able to troubleshoot Azure networking, permissions, pipeline and cluster failures, and disaster recovery scenarios independently.

Skills

  • Terraform
  • Azure Databricks
  • Azure Data Factory
  • GitHub Actions
  • Jenkins
  • Azure Networking
  • Access Management
  • Platform Troubleshooting
  • CI/CD
  • Azure Storage
  • Disaster Recovery
  • Power BI
  • Data Engineering

Benefits

  • Professional Development Opportunities

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • 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
  • Data Engineering
  • Power BI
  • Databricks Clusters
  • Databricks Workflows
  • Data Factory Pipelines
  • Linked Services
  • Platform Troubleshooting
  • Disaster Recovery
  • Azure Resource Provisioning
  • Root Cause Analysis

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