About
The enterprise data platform is based on Microsoft Fabric and Microsoft Azure and provides reliable, secure, and scalable data services.
Responsibilities
•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
Requirements
•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
Nice to have
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
Conditions
•Employee or Contractor
•Work permit is not provided
