• You are responsible for the development of data strategies (incl. governance) and the further development of data management
• You interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
• You define and manage standards, guidelines, and processes to ensure data quality and governance
• You manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps
• You simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
• You lead and participates in the peer review and quality assurance of project architectural artifacts across the Enterprise Architecture
• You are ensuring technology solutions are in alignment with data architecture principles and target state
• You evaluate and recommend emerging technologies and roles for data management, storage and analytics

ADDITIONAL INFORMATION

Long-term, interesting and varied work for a reliable employer in a supportive team
A family-friendly company culture with flexible working hours and remote working options available according to your individual needs
Numerous training and further development opportunities within the Group (5% of working time for self-organized training and education)
Staff shopping and travel discounts
Easy public access
An industry-standard, attractive andperformance-basedd annual gross salary starting at 64,000 Euro (on a full-time basis) with the possibility of higher pay according to experience and qualifications

• Proficiency in the design and implementation of modern data architectures and concepts such as data-mesh, cloud services (Azure, GCP), real-time data distribution (Kafka), and modern data warehouse tools (Snowflake)
• Experience with database technologies such as SQL, No SQL, Oracle
• Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
• Ability to assess traditional and modern data architecture components based on business needs
• Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
• Ability to regularly learn and adopt new technology, especially in the ML/AI realm
• Strong analytical and problem-solving skills
• Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
• Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
• You can express yourself well in German and English, both orally and in writing.