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Erstellt am 15. Mai 2026

Senior Enterprise Data Architect (m/f/d)

Fresenius
Bad Homburg vor der Höhe, Hessen 61348, Germany Vollzeit
Reference: 1463718064

Your Impact

You will shape how data is structured, governed, and leveraged across the enterprise-enabling trusted data, advanced analytics, and AI-ready capabilities.

This role is critical to building a high-quality, scalable data foundation that supports business operations, innovation, and regulatory compliance.

What You Will Drive
  • Enterprise-wide data architecture strategy and roadmap aligned with business priorities
  • Definition of target data architecture supporting analytics, AI, and operational use cases
  • Standardized data models, taxonomies, metadata, and information flows
  • Strong data governance frameworks, including ownership, stewardship, and quality rules
  • Design and evolution of data platforms and integration layers
  • Implementation of data cataloging, lineage, and metadata management capabilities
  • Establishment of data quality frameworks, dashboards, and remediation processes
  • Alignment between business processes, data structures, and system integrations
  • Enablement of enterprise-wide Data & AI initiatives through scalable architecture


What You Bring
  • 7+ years of experience in Data Architecture, Enterprise Architecture, or related roles
  • Strong expertise in data strategy, governance, modelling, and quality management
  • Experience designing and governing modern data platforms (e.g., Azure, AWS, SAP)
  • Solid understanding of data integration patterns (ETL/ELT, APIs, event-driven architectures)
  • Experience with data cataloging, metadata management, and governance tooling
  • Ability to operate in complex, cross-functional environments
  • Strong stakeholder management skills with the ability to align business and IT
  • Analytical mindset with the ability to translate complexity into clarity and direction


Why Join Us
  • Shape the foundation of data-driven and AI-enabled decision-making
  • Play a key role in enterprise-wide data transformation
  • Work at the intersection of business, technology, and innovation
  • Drive trust, transparency, and consistency in data across the organization
  • Be part of a culture evolving toward data ownership, quality, and collaboration at Fresenius Kabi

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