Lead Data DevOps

We are looking for a Lead Data DevOps to drive the reliability and evolution of our Azure data platform through automation, monitoring, and secure operations. You will implement infrastructure updates, build self-healing and tracking capabilities, and partner with Architecture and SRE on performance and access controls across environments. Responsibilities Deliver and maintain infrastructure changes across the data platform Set up monitoring and end-to-end tracking mechanisms Build automation and self-healing solutions to streamline platform operations Execute anomaly detection, event correlation, and analysis Run performance analysis on data workloads Administer access permissions across environments Partner with Architecture teams to ensure platform design aligns with support model standards Coordinate with the SRE team to support the platform Improve data platform activities, support processes, and automate administrative activities, infrastructure, and application deployments Align with multiple stakeholders on platform requirements and priorities Diagnose and prevent issues related to data workloads performance Requirements Proven track record with 5+ years of hands-on work using advanced Terraform and Azure DevOps pipelines across multiple subscriptions and environments Solid knowledge of Azure data solutions such as Data Lake Storage, Databricks, and ADF Practical familiarity with Synapse Analytics for data workloads performance improvements, monitoring, and issues troubleshooting Strong ability to communicate effectively with multiple stakeholders Demonstrated expertise in solutioning and collaborating with Architecture teams on platform design standards Excellent command of written and spoken English (B2+ level)