Data platform DevOps engineer

We are looking for a Data Platform DevOps Engineer to design, build, automate and operate an enterprise data platform based on Microsoft Fabric and Microsoft Azure. You will combine platform engineering, DevOps and data infrastructure expertise to deliver reliable, secure and scalable data services, with a strong focus on Microsoft Fabric, CI/CD, automation, observability and cloud operations.

• 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 and 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;
• 5+ years of experience in DevOps, platform engineering or Site Reliability Engineering (SRE);
• 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 with 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: Experience with Terraform, Ansible, ARM templates, GitHub Actions, Docker, Kubernetes, Fabric REST APIs, Microsoft Purview, Power BI administration, multi-region or multi-cloud environments would be an advantage; Knowledge of Delta Lake, Parquet, PySpark, data lakehouse and medallion architectures, real-time analytics, streaming, MLOps or AI workload integration would also be beneficial

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