Senior Scientific Data Architect, Data Modeler

• Analyze existing data landscapes, data flows, and scientific data sources in the life sciences sector
• Develop enterprise-wide data models for laboratory, research, and operational data, as well as central Data Products
• Establish semantic data models, metadata standards, and data classifications
• Introduce and advance FAIR Data Principles and scientific data standards
• Design modern Data Platforms based on Snowflake and AWS
• Develop cross-domain data architectures
• Collaborate with laboratories, R&D, IT, and Data Science teams
• Support analytics, AI, and Data Science applications through harmonized data structures

• University degree in Computer Science, Data Science, Bioinformatics, Mathematics, Natural Sciences, or a comparable field
• At least eight years of professional experience in Data Architecture, Data Modeling, or Enterprise Data Management
• Experience in pharmaceuticals, biotechnology, diagnostics, medical technology, or a scientific research environment
• Strong knowledge of modern data architectures, data platforms, and data modeling
• Hands-on experience with Snowflake, AWS, and SQL
• Knowledge of Data Mesh, Data Products, Metadata Management, Data Governance, and FAIR Data Principles
• Ideally, experience in Scientific Informatics, Laboratory Informatics, semantic layers, ontologies, or the Allotrope Framework

• Work-life balance with flexible working hours and remote work options
• EGYM Wellpass
• Company bicycle leasing
• Discounted green mobility options
• IT communities for knowledge sharing, professional development, and networking
• Permanent employment contract
• Corporate benefits
• Team events