Microsoft Data Platform Administrator

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Together with our partners, customers and the world of science, we develop leading-edge technologies, and excellent products and services for about 40 markets and for thousands of applications: seals, vibration control components, batteries and fuel cells, technical textiles, filters, cleaning technologies and products, specialty chemicals and medical products.

Some of your Benefits

Meal Allowance: We offer an allowance that makes meals more affordable.

Flexible Work Models: We allow for flexible work models to ensure both professional and personal success.

Easily Reachable: Easy, low-stress access by car or public transport.

Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success.

Corporate Events: We celebrate success as a team, because only together can we achieve our goals.

Brasov

Romania - Remote

Remote

Freudenberg Business Services SRL

You support our team as

Microsoft Data Platform Administrator

Responsibilities

• 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 (F SKUs), workspaces, and item governance.
• 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, focusing on platform configuration, reliability, and standards (no pipeline business logic).
• Establish platform reliability and operational excellence including monitoring, alerting, autoscaling, performance tuning, cost control, tagging, chargeback/showback, and capacity optimization.
• Harden platform security end to end leveraging Entra ID (Azure AD), PIM, conditional access, managed identities, Key Vault, private endpoints, encryption, and network isolation.
• Implement governance, compliance, and data protection controls using Microsoft Purview (catalog, lineage, classification), DLP, sensitivity labels, retention policies, and auditing.
• Enable AI/ML and advanced analytics workloads by integrating Azure Machine Learning and Fabric ML experiences, including feature stores, registries, compute access, and inference endpoints from a platform perspective.
• Oversee 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.
• Act as tenant and workspace administrator and platform enabler for Fabric and Power BI (capacity settings, gateways, semantic models, refresh, RLS/OLS), while collaborating cross‑functionally, defining best practices, and coaching teams on platform usage.

Qualifications

• Azure platform administration: Entra ID, RBAC, Azure Policy / Blueprints, subscription & resource group management, Cost Management, automation standards.
• Microsoft Fabric administration (hands‑on): Capacities (F SKUs), workspaces, Lakehouse, Warehouse, OneLake, Shortcuts, Notebooks, Fabric Data Factory and Dataflows Gen2.
• Security‑by‑design for data platforms: Network segmentation, Private Endpoints, Key Vault / CMK, managed identities, secret rotation, DLP and encryption.
• Governance & compliance controls: Microsoft Purview (catalog, lineage, classification), RLS/OLS, sensitivity labels, audit logging, data residency & privacy requirements.
• Power BI & Fabric tenant administration: Tenant settings, gateways, semantic model governance, incremental refresh, Direct Lake / DirectQuery, deployment pipelines.
• Storage & compute operations for analytics platforms: ADLS Gen2, Delta Lake, Spark runtimes, SQL (Synapse / Fabric Warehouse), 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 (Azure DevOps / GitHub Actions), environment promotion, release automation, and AKS platform operations (cluster configuration, scaling, upgrades, workload isolation).
• MLOps / AI platform enablement: Integration with Azure ML / Fabric ML: model lifecycle, feature stores, pipelines, registries, and governance (platform perspective).
• Scripting, automation & infrastructure as code: PowerShell / Azure CLI, Python / SQL scripting, IaC (Bicep / Terraform) for repeatable, governed platform changes.
• FinOps-aware platform administration: Cost attribution, capacity optimization, showback/chargeback models.
• Experience with adjacent data & streaming platforms: Azure Databricks, Event Hubs / Kafka, or similar large-scale data services.
• Advanced Kubernetes ecosystem capabilities: Ingress controllers, service mesh (e.g. Istio/Linkerd), workload identity, secrets integration, and cluster‑level security hardening.
• Platform leadership & enablement: Experience leading platform rollouts, defining standards and guardrails, mentoring engineering teams.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.