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 - apply now.

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
• English proficiency at B2 (Upper-Intermediate) level or higher