Job Description

Working at Freudenberg: We will wow your world!

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, OnPremises Data Gateways and item governance.

Manage storage and compute layers across the platform covering Fabric OneLake, ADLS Gen2, Delta Lake, Lakehouse/Warehouse, SQL pools, and Spark runtime and capacity settings.

Enable and operate data ingestion and transformation services using Microsoft Fabric Spark Notebooks and Materialized Lake Views, 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, GitHub Enterprise Cloud, 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.

Stay up to date with emerging technologies and industry trends and apply them to enhance platform engineering processes and technologies for the organization’s

Qualifications

University degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong foundation in AI principles and methodologies or equivalent combination of education and experience

more than five years in Data & AI Jobs; Business knowledge: None

Must-Have Skills A. Platform Administration & Cloud Foundations • 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, Spark Pools, deployment pipelines. B. Platform Operations, Reliability & Enablement
• Storage & compute operations for analytics platforms ADLS Gen2, Delta Lake, Spark runtimes, SQL (Fabric Lakehouse), partitioning, caching, performance tuning
• Observability and operational excellence Azure Monitor, Log Analytics / KQL, Fabric capacity metrics, Fabric Eventhouse, refresh diagnostics, query performance, cost/performance optimization.
• DevOps and container platform operations Git based workflows, YAML pipelines (GitHub Actions), environment promotion, release automation, and AKS platform operations (cluster configuration, scaling, upgrades, workload

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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.

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