Data Platform Administrator

This is a fully remote position, open to applicants in Romania.

📋 Description

• Design, develop, and manage a secure, scalable, AI-ready data and analytics platform utilizing Microsoft Azure and Microsoft Fabric, incorporating OneLake, Lakehouse, and Warehouse components.

• Administer and enhance Azure and Fabric platform resources, including subscriptions, resource groups, RBAC, Azure Policies, Fabric capacities (F SKUs), workspaces, and governance of items.

• Oversee storage and compute layers across the platform, covering ADLS Gen2, Delta Lake, Lakehouse/Warehouse, SQL pools, and Spark runtime and capacity configurations.

• Facilitate and operate data ingestion and transformation services through Azure Data Factory, Synapse Pipelines, Fabric Data Factory, and Dataflows Gen2, with a focus on platform configuration, reliability, and adherence to standards (excluding pipeline business logic).

• Establish platform reliability and operational excellence through monitoring, alerting, autoscaling, performance optimization, cost management, tagging, chargeback/showback, and capacity enhancement.

• Strengthen platform security comprehensively using Entra ID (Azure AD), PIM, conditional access, managed identities, Key Vault, private endpoints, encryption, and network isolation.

• Implement governance, compliance, and data protection measures utilizing Microsoft Purview (catalog, lineage, classification), DLP, sensitivity labels, retention policies, and auditing processes.

• Enable AI/ML and advanced analytics capabilities by integrating Azure Machine Learning and Fabric ML experiences, encompassing feature stores, registries, compute access, and inference endpoints from a platform perspective.

• Supervise CI/CD and lifecycle management for analytics and data platform artifacts, including Fabric Git integration, Azure Repos/GitHub, branching strategies, automated deployments, and environment promotion.

• Serve as tenant and workspace administrator and platform enabler for Fabric and Power BI (capacity settings, gateways, semantic models, refresh, RLS/OLS), while collaborating across functions, defining best practices, and mentoring teams on platform utilization.

⛳️ Requirements

• Proficient in Azure platform administration: Entra ID, RBAC, Azure Policy/Blueprints, subscription & resource group management, Cost Management, and automation standards.

• Hands-on experience with Microsoft Fabric administration: Capacities (F SKUs), workspaces, Lakehouse, Warehouse, OneLake, Shortcuts, Notebooks, Fabric Data Factory, and Dataflows Gen2.

• Knowledge of security-by-design principles for data platforms: Network segmentation, Private Endpoints, Key Vault/CMK, managed identities, secret rotation, DLP, and encryption.

• Familiarity with governance and compliance controls: Microsoft Purview (catalog, lineage, classification), RLS/OLS, sensitivity labels, audit logging, and data residency & privacy requirements.

• Experience in Power BI & Fabric tenant administration: Tenant settings, gateways, semantic model governance, incremental refresh, Direct Lake/DirectQuery, and deployment pipelines.

• Proficient in storage & compute operations for analytics platforms: ADLS Gen2, Delta Lake, Spark runtimes, SQL (Synapse/Fabric Warehouse), partitioning, caching, and performance tuning.

• Knowledge of observability and operational excellence: Azure Monitor, Log Analytics/KQL, Fabric capacity metrics, refresh diagnostics, query performance, and cost/performance optimization.

• Experience with DevOps and container platform operations: Git-based workflows, YAML pipelines (Azure DevOps/GitHub Actions), environment promotion, release automation, and AKS platform operations (cluster configuration, scaling, upgrades, workload isolation).

• Familiarity with MLOps/AI platform enablement: Integration with Azure ML/Fabric ML, including model lifecycle, feature stores, pipelines, registries, and governance from a platform perspective.

• Proficient in scripting, automation & infrastructure as code: PowerShell/Azure CLI, Python/SQL scripting, and IaC (Bicep/Terraform) for consistent, governed platform modifications.

• Awareness of FinOps in platform administration: Cost attribution, capacity optimization, and showback/chargeback models.

• Experience with related data & streaming platforms: Azure Databricks, Event Hubs/Kafka, or similar large-scale data services.

• Advanced skills in the Kubernetes ecosystem: Ingress controllers, service mesh (e.g., Istio/Linkerd), workload identity, secrets integration, and cluster-level security enhancements.

• Leadership in platform development and enablement: Proven experience in leading platform rollouts, establishing standards and guardrails, and mentoring engineering teams.

🏝️ Benefits

• Health insurance

• Professional development opportunities