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ALTEN аэроғарыш, автомобиль өнеркәсібі, банк ісі, өмір туралы ғылымдар, құрылыс және консалтинг сияқты салалардағы ұйымдарға аутсорсингтік инженерлік, зерттеу және әзірлеу, жобаларды басқару және IT қызметтерін ұсынады. 30-ға жуық елде жұмыс істейтін 57 400-ден астам қызметкерден тұратын халықаралық командасы күрделі техникалық жобалармен айналысып, клиенттеріне технологияларды дамытуға, операцияларын жетілдіруге және инновацияны ілгерілетуге көмектеседі.
Senior Scientific Data Architect and Data Modeler at ALTEN - Remote
Senior Scientific Data Architect and Data Modeler role at ALTEN, focused on life-science data. Design Snowflake and AWS platforms, semantic models, and FAIR data standards for global engineering and IT services.
Сипаттама
- Assess existing data landscapes, flows, and scientific sources across the life-sciences sector.
- Create enterprise data models for laboratory, research, and operational information, including centralized Data Products.
- Define semantic models, metadata standards, and data classification frameworks.
- Implement and further develop FAIR Data Principles and scientific data standards.
- Architect modern data platforms using Snowflake and AWS.
- Shape data architectures that span multiple business and scientific domains.
- Work closely with laboratory, R&D, IT, and Data Science stakeholders.
- Enable analytics, artificial intelligence, and Data Science use cases through harmonized data structures.
Талаптар
- Bachelor’s or advanced university degree in Computer Science, Data Science, Bioinformatics, Mathematics, Natural Sciences, or a related discipline.
- At least eight years of experience in data architecture, data modeling, or enterprise data management.
- Professional background in pharmaceuticals, biotechnology, diagnostics, medical technology, or scientific research.
- Strong command of contemporary data architectures, data platforms, and data modeling practices.
- Practical experience with Snowflake, AWS, and SQL.
- Knowledge of Data Mesh, Data Products, metadata management, data governance, and FAIR Data Principles.
- Experience with Scientific Informatics, Laboratory Informatics, semantic layers, ontologies, or the Allotrope Framework is advantageous.
Артықшылықтар
- Flexible working hours and remote-work options to support work-life balance.
- Access to EGYM Wellpass.
- Company bicycle leasing program.
- Discounted green mobility options.
- IT communities that support knowledge sharing, professional growth, and networking.
- Permanent employment contract.
- Corporate benefits program.
- Team events.
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