Senior Enterprise Data Architect

Fresenius Kabi
Bad Homburg vor der Höhe, Germany
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Data Architecture Data Governance Data Infrastructure Extract Transform Load (ETL) Data Transformation Data Structures Metadata Meta-Data Management
+7 more
SAP (Applications) Systems Integration Enterprise Data Management Data Strategy Event Driven Architecture Data Analytics Data Management

Job description

  • 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

Requirements

  • 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

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