Senior Scientific Data Architect, Data Modeler

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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ALTEN

WebsiteLinkedInAll Job Openings

10,000+ employees

🚘 Automotive

🏗️ Construction

💼 Consulting

Automotive • Construction • Consulting

ALTEN is a leader in outsourced Engineering and R&D and IT Services, catering to various industries such as aeronautics, automotive, banking, and life sciences. With a workforce of over 57,400 employees across nearly 30 countries, ALTEN specializes in executing complex and technical projects, supporting innovation and technology advancements in multiple sectors. The company focuses on providing engineering services, project management, and IT solutions to enhance client operations and foster sustainable innovation.

📋 Description

• Analyze existing data landscapes, data flows, and scientific data sources in the life sciences environment • Develop enterprise-wide data models for laboratory, research, and operational data, as well as core 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

🎯 Requirements

• Completed 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 pharmaceutical, biotechnology, diagnostics, or laboratory environments • Strong knowledge of modern data architectures, data platforms, and data modeling • Practical experience with Snowflake, AWS, and SQL • Knowledge of FAIR Data Principles, Data Mesh, Data Products, Metadata Management, and Data Governance • Experience with semantic layers, ontologies, and scientific data models • Ideally, knowledge of Scientific Informatics, Laboratory Informatics, or the Allotrope Framework (AFO, ASM, ADM, ADF)

🏖️ Benefits

• Flexible working hours and the option to work remotely • 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