Senior Technical Lead - Data Engineering / DevOps

We are looking for an experienced Senior Technical Lead with strong expertise in Microsoft Azure, Microsoft Fabric, Data Engineering, and DevOps., Design, build, and maintain reliable data pipelines and scheduled data processing jobs using Microsoft Fabric. Work with Fabric Data Factory, Lakehouse, and Warehouse for data ingestion, transformation, and orchestration. Develop and maintain CI/CD pipelines for Microsoft Fabric solutions using Git and Azure DevOps. Implement YAML-based pipeline configurations and deployment automation. Support Azure Data Factory to Microsoft Fabric migration and integration initiatives. Manage secure configurations, credentials, identities, and deployment processes. Implement Identity and Access Management and secure connectivity across environments. Work with Azure networking components, including VNets, DNS, private endpoints, and network security. Troubleshoot and resolve data pipeline, infrastructure, and deployment issues. Ensure reliability and operational stability of production data workloads.

This role requires a professional with approximately 60% DevOps expertise and 40% Data Engineering experience, capable of building reliable data pipelines, managing CI/CD deployments, and supporting enterprise-scale Microsoft Fabric solutions., Strong hands-on experience with Microsoft Fabric. Azure Data Factory (ADF). Azure DevOps and Git. YAML pipelines and CI/CD automation. Data Lakehouse architecture. Identity and Access Management (IAM). Azure infrastructure and networking. Production data pipeline support and troubleshooting. Preferred Qualifications Experience migrating data workloads from Azure Data Factory to Microsoft Fabric. Knowledge of Microsoft Fabric deployment and automation APIs. Experience with enterprise data engineering and DevOps implementation. Strong problem-solving and communication skills. Important Requirement The ideal candidate should have a strong DevOps background (60%) combined with Data Engineering expertise (40%). Candidates must be located in the PST time zone.