Data Architect (m/w/d)

Tasks

• Design and maintenance of enterprise-wide data models, including conceptual, logical, and physical levels
• Leading data architecture for central platforms and supporting value-stream-spanning data requirements
• Definition of data standards, naming conventions, and best practices for modeling
• Evaluation and recommendation of suitable data storage patterns (relational, dimensional, Lakehouse, graph)
• Architecture and monitoring of data pipelines and ETL/ELT processes across source systems
• Design of integration patterns for batch, near-real-time, and streaming data flows
• Ensuring robust data lineage, traceability, and auditability across all pipelines
• Collaboration with engineering teams to implement scalable, resilient integration solutions
• Development of semantic and analytical data models supporting BI, reporting, and advanced analytics use cases
• Partnership with analytics and data science teams to define trustworthy data products
• Promotion of a self-service data culture by providing reusable, well-documented data assets
• Definition and enforcement of data quality rules, validation frameworks, and remediation processes
• Contribution to data governance policies, data cataloging, and metadata management
• Collaboration with stakeholders to manage data contracts and SLAs
• Acting as a trusted data advisor across multiple value streams and business domains
• Facilitation of technical workshops and design reviews with engineering and product stakeholders
• Clear communication of complex data architecture decisions to both technical and non-technical audiences