Microsoft Data Platform Administrator

Responsibilities

We are representing a confidential technology organization seeking a Microsoft Data Platform Administrator in Romania. In this role, you will:

• Design, build, and operate a secure, scalable, AI-ready data and analytics platform on Microsoft Azure and Microsoft Fabric, including OneLake, Lakehouse, and Warehouse components
• Administer and optimize Azure and Fabric platform resources including subscriptions, resource groups, RBAC, Azure Policies, and Fabric capacities
• Manage storage and compute layers across the platform covering ADLS Gen2, Delta Lake, Lakehouse/Warehouse, SQL pools, and Spark runtime and capacity settings
• Enable and operate data ingestion and transformation services using Azure Data Factory, Synapse Pipelines, Fabric Data Factory, and Dataflows Gen2
• Establish platform reliability and operational excellence including monitoring, alerting, autoscaling, performance tuning, cost control, and capacity optimization
• Harden platform security end to end leveraging Entra ID, PIM, conditional access, managed identities, Key Vault, private endpoints, encryption, and network isolation
• Implement governance, compliance, and data protection controls using Microsoft Purview, DLP, sensitivity labels, retention policies, and auditing
• Enable AI/ML and advanced analytics workloads by integrating Azure Machine Learning and Fabric ML experiences
• Oversee CI/CD and lifecycle management for analytics and data platform artifacts including Fabric Git integration, branching strategies, and automated deployments
• Act as tenant and workspace administrator for Fabric and Power BI, while collaborating cross-functionally and coaching teams on platform usage

What We're Looking For

• Strong Azure platform administration experience: Entra ID, RBAC, Azure Policy/Blueprints, subscription and resource group management, Cost Management, automation standards
• Hands-on Microsoft Fabric administration: Capacities, workspaces, Lakehouse, Warehouse, OneLake, Shortcuts, Notebooks, Fabric Data Factory and Dataflows Gen2
• Security-by-design expertise for data platforms: Network segmentation, Private Endpoints, Key Vault, managed identities, secret rotation, DLP and encryption
• Governance and compliance controls: Microsoft Purview (catalog, lineage, classification), RLS/OLS, sensitivity labels, audit logging, data residency and privacy requirements
• Power BI and Fabric tenant administration: Tenant settings, gateways, semantic model governance, incremental refresh, Direct Lake/DirectQuery, deployment pipelines
• Storage and compute operations for analytics platforms: ADLS Gen2, Delta Lake, Spark runtimes, SQL, partitioning, caching, performance tuning
• Observability and operational excellence: Azure Monitor, Log Analytics/KQL, Fabric capacity metrics, refresh diagnostics, query performance, cost/performance optimization
• DevOps and container platform operations: Git-based workflows, YAML pipelines, environment promotion, release automation, and AKS platform operations
• MLOps/AI platform enablement: Integration with Azure ML/Fabric ML from a platform perspective
• Scripting, automation and infrastructure as code: PowerShell/Azure CLI, Python/SQL scripting, IaC (Bicep/Terraform)
• FinOps-aware platform administration: Cost attribution, capacity optimization, showback/chargeback models
• Experience with adjacent data and streaming platforms: Azure Databricks, Event Hubs/Kafka, or similar large-scale data services preferred
• Advanced Kubernetes ecosystem capabilities preferred: Ingress controllers, service mesh, workload identity, secrets integration, cluster-level security hardening
• Platform leadership and enablement: Experience leading platform rollouts, defining standards and guardrails, mentoring engineering teams

How We Work with You

Our talent team at Get A Job.ai partners with you throughout the hiring process. When you apply through our platform, one of our experienced recruiters will screen your qualifications and discuss the opportunity in detail. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through Get A Job.ai to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to diversity and inclusion. We provide equal employment opportunities to all qualified applicants without regard to race, color, religion, gender, national origin, age, disability, or any other protected characteristic.