Data Architect-Enterprise Data Catalogue Lead (m/w/d)
Duales Studium
Bulle
The Data Architect, Enterprise Data Catalogue Lead implements, rolls out, and operates Liebherr's Enterprise Data Catalogue, strengthening the strategic management of data assets across a complex, multi-domain landscape. Reporting to the Global Data Architect and working with Data Domain Architects, Corporate Data Governance, and business stakeholders, the role establishes and continuously improves the catalogue as a trusted source of information about the Group's data, aligned with corporate standards and governance. It suits someone who not only executes but proposes, takes initiative, and drives initiatives through to adoption
Drive the implementation, deployment, and Group-wide rollout of the Enterprise Data Catalogue across a complex, heterogeneous system landscape, driving adoption across business and IT teams
Own the catalogue in operation: maintain, administer, and continuously improve it once live, ensuring data remains accurate, complete, and up to date
Design and configure metadata ingestion, data classification, and data lineage across multiple data domains and source systems
Lead the catalogue as a cross-functional initiative spanning all Group divisions, coordinating stakeholders toward a shared outcome
Define and run the operating model for the catalogue - onboarding new domains and sources, managing releases and upgrades, and monitoring usage and data quality over time
Proactively propose improvements to catalogue structure, governance processes, and adoption strategy
Support the definition of data standards and contribute to the evolution of the global data architecture
Document and manage system-agnostic data definitions across multiple data domains
Create and maintain conceptual and logical data models following corporate templates, including LeanIX modelling and architectural documentation
Collaborate closely with Data Domain Architects and Business Representatives to ensure consistency and quality
Support the coordination and implementation of data governance initiatives and frameworks