platform engineer for global humanitarian operations

No description

• Design, build, and maintain Microsoft Fabric data platform infrastructure, including OneLake, Data Warehouse, Lakehouse, Data Factory pipelines, Real-Time Intelligence, and Power BI environments;
• Implement and manage platform architecture supporting data engineering, data science, analytics, and business intelligence workloads across the organization;
• Develop and maintain Infrastructure as Code solutions using Terraform, Azure Resource Manager templates, or similar tools;
• Architect multi-region, scalable Microsoft Fabric solutions supporting global humanitarian operations;
• Design and implement OneLake storage structures, shortcuts, mirroring configurations, and data lake optimization strategies;
• Build and maintain CI/CD pipelines for Microsoft Fabric workspaces using Azure DevOps;
• Implement automated deployment strategies using Fabric REST APIs, Git integration, Fabric deployment pipelines, and fabric-cicd tools;
• Manage source control integration with Microsoft Fabric workspaces, including branching strategies and deployment workflows across development, test, and production environments;
• Automate infrastructure provisioning, configuration management, and deployment processes for Fabric components;
• Develop and maintain deployment rules, parameterization strategies, and environment-specific configurations;
• Perform ongoing maintenance of Microsoft Fabric components, including capacity management, workspace administration, and item lifecycle management;
• Monitor platform health, performance metrics, and resource utilization using Azure Monitor, Prometheus, Grafana, or integrated Fabric monitoring capabilities;
• Implement observability and alerting across logs, metrics, and traces for the data platform;
• Conduct platform updates, patches, and upgrades while maintaining system stability;
• Manage disaster recovery procedures, backup strategies, and business continuity planning for critical data assets;
• Optimize platform performance through capacity planning, resource allocation, and cost management;
• Implement and enforce security controls using Microsoft Purview for data governance, classification, and protection;
• Configure and maintain RBAC, row-level security, column-level security, and OneLake folder/table-level permissions;
• Establish and enforce data sensitivity labeling, information protection policies, and DLP measures;
• Integrate Microsoft Entra authentication, manage service principals, and implement managed identities;
• Ensure compliance with GDPR, HIPAA, and ISO standards through automated controls and auditing;
• Implement network security measures including conditional access, private endpoints, customer-managed encryption keys, and secure data sharing protocols;
• Monitor and respond to security incidents, and conduct security assessments and vulnerability management;
• Develop automation scripts using Python, PowerShell, Bash, and Azure CLI;
• Create custom tooling and utilities to enhance platform capabilities and developer experience;
• Automate data pipeline orchestration, monitoring, alerting, and incident response workflows.

• 5+ Years of experience in DevOps, platform engineering, or site reliability engineering roles;
• 3+ Years of hands-on experience with Microsoft Azure cloud services and Azure DevOps;
• Strong experience with Microsoft Fabric or related Microsoft data platforms, including PowerBI, Azure Synapse Analytics, or Azure Data Factory;
• Expertise in Infrastructure as Code tools, including Terraform, Ansible, ARM templates, or Cloud Formation;
• Proficiency in Python, PowerShell, Bash, and SQL;
• Deep understanding of CI/CD principles and tools, including AzureDevOps and GitHub Actions;
• Experience with Docker, Kubernetes, and cloud services including AKS, EKS, or GKE;
• Experience with Azure Storage, AWS S3, GCP Cloud Storage, Azure SQL, Amazon RDS, or GCP Cloud SQL;
• Strong knowledge of data warehousing, data lakes, lakehouse architectures, and ETL/ELT processes;
• Hands-on experience with Azure Monitor, Prometheus, Grafana, ELK Stack, or Datadog;
• Understanding of storage ACLs, network security, encryption, identity management, and cloud security best practices;
• Experience deploying and managing Microsoft Fabric workspaces, capacities, and items;
• Knowledge of OneLake architecture, shortcuts, mirroring, maintenance, and security;
• Familiarity with Fabric REST APIs and SDK for automation and integration;
• Experience with Fabric Git integration and deployment pipelines;
• Knowledge of Power BI administration and deployment best practices;
• Proficiency in designing scalable ETL/ELT architectures and data pipeline orchestration strategies;
• Knowledge of Delta Lake and Parquet optimization techniques, including partitioning and clustering;
• Deep understanding of data lakehouse architecture, medallion patterns, and data mesh organizational frameworks.

• Contract employment;
• European Union.