Senior Azure DataOps Engineer

Job Description

We are seeking an Azure DataOps Engineer to design, build, and maintain modern data pipelines using Microsoft Fabric, Databricks, Snowflake, and Azure. You will play a key role in helping clients modernize their data platforms and create scalable, cloud-based solutions to drive better insights and business outcomes. Working Hours: MST Time zone Key Responsibilities: Design, implement, and deploy end-to-end data pipelines using Microsoft Fabric, Databricks, Snowflake, and Azure services. Perform Azure implementation, deployment, and migration activities Leverage DataOps and DevOps best practices to ensure seamless, efficient data operations. Collaborate with clients to modernize their data platforms, implementing cloud-first architectures. Automate infrastructure and data workflows using Terraform, PowerShell, and Python. Provide mentorship, technical guidance, and support to peers while contributing to best practices and templates. Required Qualifications: 5+ years of experience in Azure implementation and operations, with a focus on data platforms. Experience in building and maintaining modern data pipelines on Microsoft Fabric, Snowflake, and Databricks. Proficiency with Azure IaaS/PaaS, ARM, and Terraform for infrastructure automation. Experience with using incident management systems, such as Jira, Azure DevOps, or ServiceNow Strong problem-solving skills and the ability to work autonomously in a highly collaborative environment. Bachelors Degree in Computer Science, Engineering, or related field, or equivalent experience. A passion for learning and staying ahead in cloud and data technologies.