Data Platform DevOps Engineer

The enterprise data platform is based on Microsoft Fabric and Microsoft Azure and provides reliable, secure, and scalable data services.

• Design, build, and maintain the Microsoft Fabric data platform, including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, and Power BI environments
• Build and maintain CI/CD pipelines using Azure DevOps, Fabric Git integration, deployment pipelines, REST APIs, and automation tooling
• Automate infrastructure provisioning, configuration, and deployments using Infrastructure as Code (IaC) and scripting
• Manage Fabric workspaces, capacities, and platform components, including performance, resource utilization, and cost optimization
• Implement monitoring, observability, and alerting across the data platform; support incident response and root cause analysis
• Implement platform security, including RBAC, Microsoft Entra, managed identities, encryption, access controls, and data protection
• Support scalable ETL/ELT, data pipeline, and OneLake architectures, including orchestration, storage optimization, and platform integrations
• Collaborate with data engineers, data scientists, analysts, developers, security, and compliance teams to improve platform reliability and developer experience

• Bachelor's or Master's degree
• At least 5 years of experience in DevOps, platform engineering, or Site Reliability Engineering (SRE)
• At least 3 years of hands-on experience with Microsoft Azure and Azure DevOps
• Strong experience with Microsoft Fabric or related Microsoft data platforms, such as Azure Synapse Analytics, Azure Data Factory, or Power BI
• Experience deploying and managing Microsoft Fabric workspaces, capacities, and items, with knowledge of OneLake architecture
• Strong knowledge of CI/CD, Infrastructure as Code, and deployment automation
• Proficiency in Python, PowerShell, Bash, and SQL
• Experience with cloud storage and managed database services, as well as scalable ETL/ELT and data pipeline orchestration
• Strong knowledge of monitoring, observability, cloud security, identity management, and data platform performance optimization
• Fluent English, both written and spoken
• Будет плюсом: Terraform, Ansible, ARM templates, GitHub Actions, Docker, Kubernetes, Fabric REST APIs, Microsoft Purview, Power BI administration, multi-region or multi-cloud environments, Delta Lake, Parquet, PySpark, data lakehouse and medallion architectures, real-time analytics, streaming, MLOps, AI workload integration

• Employee or Contractor
• Work permit is not provided