IT Data Architect (m/f/d)

nationwide
Hybrid - Remote (up to 100%)
Do you have a vision of not just managing data, but establishing it as the strategic backbone of a global market leader by aligning it with key business objects across sales, logistics, production, and finance? Do you have a deep understanding of complex ERP data models-particularly in the SAP environment-and want to migrate them to a modern, cloud-based target architecture? Then join our IT Data Architecture team and play a decisive role in shaping the data-driven future of the Friedhelm Loh Group.

Tasks

• Design of the data architecture: Defining and further developing the enterprise-wide data architecture in line with the data strategy, with a focus on consistent, semantically sound data models based on key business objects from sales, logistics, production, and finance.
• Domain-oriented data modeling: Functional and technical structuring of the data landscape-ranging from the leading SAP ERP system through adjacent SAP and non-SAP system platforms (CRM, WMS, MES, etc.) to target analytical architectures (including SAP Business Data Cloud).
• Business-IT Translation: Translating business requirements from the business domains into sustainable, future-proof data and target architectures in close coordination with the IT teams for Data Engineering, Data Analysis, and Data Stewardship.
• Technology and Methodology Assessment: Evaluating new technologies and approaches (e.g., DataOps, API-oriented architectures, cloud platforms) in the context of structured and unstructured data (e.g., Big Data, IoT, AI).
• Stakeholder Management: Consulting and coordinating with business and IT stakeholders, as well as cross-functional coordination of architectural requirements within IT.

Profile

• A degree in computer science, business informatics, data science, or a comparable qualification with relevant professional experience
• Several years of professional experience in conceptual data architecture and modeling, ideally in the context of complex, SAP-based enterprise landscapes
• Extensive experience in conceptual, logical, and semantic data modeling, as well as in the development and harmonization of SAP ERP data models with data models from adjacent SAP and non-SAP system platforms (CRM, WMS, MES, etc.)
• Experience in structuring and documenting business and technical architectures, as well as proficiency in UML and BPMN
• Analytical, structured, and solution-oriented approach to work, with the ability to comprehensively understand complex data landscapes
• Strong communication and interpersonal skills when interacting with technical and business stakeholders
• Excellent German and English language skills for working in an international environment
• Openness to hybrid work in cross-functional, international teams