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. #J-18808-Ljbffr