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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