Senior Enterprise Data Architect (m/f/d)
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