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