ALTEN
ALTEN
ALTEN एयरोनॉटिक्स, ऑटोमोटिव, बैंकिंग, जीवन विज्ञान, निर्माण और परामर्श सहित विभिन्न उद्योगों के संगठनों को आउटसोर्स इंजीनियरिंग, अनुसंधान एवं विकास, परियोजना प्रबंधन और आईटी सेवाएँ प्रदान करता है। इसके 57,400 से अधिक कर्मचारियों वाली अंतरराष्ट्रीय टीम लगभग 30 देशों में जटिल तकनीकी परियोजनाओं पर काम करती है और ग्राहकों को प्रौद्योगिकी विकसित करने, संचालन में सुधार करने तथा नवाचार को आगे बढ़ाने में सहायता करती है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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