We’re hiring an experienced Azure DataOps Consultant to help lead cloud-based data transformation projects. You’ll work across Microsoft Fabric, Databricks, Snowflake, and Azure, with a particular focus on automation, platform cost optimization, and deploying reliable CI/CD pipelines. Please note, this position is Calgary (hybrid/onsite) specific.

What You’ll Do

  • Design and implement scalable, automated data pipelines across Microsoft Fabric, Azure, Databricks, and Snowflake.
  • Build and maintain CI/CD processes for data projects using tools like Azure DevOps, GitHub Actions, or Terraform.
  • Help clients manage and reduce Azure cloud spend, including storage, compute, and licensing optimization.
  • Drive automation of infrastructure and platform deployments using Infrastructure as Code (IaC) tools such as Bicep, ARM, Terraform, and scripting languages like PowerShell or Python.
  • Integrate governance, lineage, and monitoring into deployed solutions.
  • Participate in cloud migration, platform modernization, and enterprise data strategy projects.
  • Support and mentor internal teams while contributing to reusable frameworks and SDK best practices.

What You Bring

  • 2+ years hands-on experience deploying solutions on Azure, ideally with IaaS and PaaS services.
  • Strong background in Microsoft Fabric, Databricks, and/or Snowflake—understanding how to build pipelines and orchestrate workloads across platforms.
  • Experience in automating cloud infrastructure and data workflows (IaC, CI/CD, scripting).
  • Proven knowledge of Azure networking, security models, and cost management.
  • Comfortable interfacing with technical and non-technical stakeholders.
  • Excellent problem-solving and debugging skills.
  • Strong initiative and ability to thrive in a fast-paced consulting environment.

Preferred but Not Required

  • Certification in Azure Data Engineer Associate, Databricks, or Snowflake.
  • Experience with FinOps practices to monitor and control cloud spend.
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