Lead Data DevOps Engineer

We are seeking a Lead Data DevOps Engineer to join a team that implements and supports essential components of an Azure data platform. This includes infrastructure changes, monitoring, end-to-end tracking, automation and self-healing, anomaly detection, event correlation and analysis, performance analysis, and access permissions management.

Responsibilities

Build and maintain advanced Terraform configurations and Azure DevOps pipelines spanning multiple subscriptions and environments Engage with various stakeholders to ensure technical solutions meet business requirements Enhance performance while monitoring, troubleshooting, and preventing issues across data workloads Work alongside Architecture teams to confirm that platform architecture and design standards align with the support model Pinpoint ways to optimize data platform activities, support processes, and operational workflows Streamline and automate administrative tasks, infrastructure, and application deployments Team up with the SRE group to maintain platform reliability and stability Requirements 5+ years working with Azure Cloud services, Azure DevOps, Azure Power.

Shell, and Terraform 1+ years of relevant leadership experience Hands-on expertise in infrastructure automation using Terraform and Azure DevOps pipelines across multiple subscriptions and environments Strong communication skills for engaging with technical and business stakeholders alike Solid grasp of platform architecture and design standards to enable effective collaboration with Architecture teams Ability to spot and execute automation opportunities across administrative, infrastructure, and deployment tasks English proficiency at a B2+ level Nice to have Familiarity with Azure Data Factory, Azure Data Lake Storage, and Azure Databricks Working knowledge of Azure Monitor and Azure SQL Database Experience with Azure Storage and Azure Synapse Analytics