{"id":2029931,"url":"https://alion.io/job/alten-senior-scientific-data-architect-data-modeler-all-gender","title":"Senior Scientific Data Architect & Data Modeler (all gender)","company":{"id":52934,"name":"ALTEN","domain":"alten.com","url":"https://alion.io/company/alten-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":76,"open_postings":83,"ghost_share":0,"stale_share":0.976,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Frankfurt am Main, Germany"],"countries":["DE"],"hiring_countries":["DE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":186000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":725},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-07T13:04:09Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-23T10:42:36Z","board_verified":false,"closed_at":"2026-10-23T10:42:36Z","days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Wir sind die Gestalter von heute für die Welt von morgen.\nAls einer der weltweit führender Entwicklungsdienstleister setzen wir uns bei ALTEN dafür ein, die Zukunft unserer Partner, die Karrieren unserer Mitarbeiter und die Herausforderungen für unsere Gesellschaft und Umwelt positiv zu gestalten.\nMehr als 50.000 Mitarbeiter in 30 Ländern arbeiten schon heute an innovativen Lösungen in verschiedenen Ingenieur- und IT-Branchen wie Automobil, Luft- und Raumfahrt, erneuerbare Energien, Medizintechnik und Bahntechnik.\n DU…\nanalysierst bestehende Datenlandschaften, Datenflüsse und wissenschaftliche Datenquellen im Life-Science-Umfeld\nentwickelst unternehmensweite Datenmodelle für Labor-, Forschungs- und Betriebsdaten sowie zentrale Data Products\netablierst semantische Datenmodelle, Metadatenstandards und Datenklassifikationen zur Verbesserung der Datennutzung und Auffindbarkeit\nführst FAIR Data Principles und wissenschaftliche Datenstandards ein und entwickelst diese weiter\nkonzipierst moderne Data Platforms auf Basis von Snowflake und AWS und entwickelst domänenübergreifende Datenarchitekturen\narbeitest eng mit Laboren, R&D, IT und Data Science zusammen und unterstützt Analytics-, AI- und Data-Science-Anwendungen durch harmonisierte Datenstrukturen\n DU…\nhast ein abgeschlossenes Studium in Informatik, Data Science, Bioinformatik, Mathematik, Naturwissenschaften oder einer vergleichbaren Fachrichtung\nbringst mindestens acht Jahre Berufserfahrung in Data Architecture, Data Modeling oder Enterprise Data Management sowie Erfahrung in Pharma-, Biotechnologie-, Diagnostik- oder Laborumgebungen mit\nverfügst über fundierte Kenntnisse moderner Datenarchitekturen, Datenplattformen und Datenmodellierung sowie praktische Erfahrung mit Snowflake, AWS und SQL\nkennst Konzepte wie FAIR Data Principles, Data Mesh, Data Products, Metadata Management und Data Governance\nbringst Erfahrung mit Semantic Layern, Ontologien und wissenschaftlichen Datenmodellen zur Harmonisierung komplexer Forschungs- und Labordaten mit\nverfügst idealerweise über Kenntnisse in Scientific Informatics, Laboratory Informatics oder dem Allotrope Framework (AFO, ASM, ADM, ADF)\nWir wertschätzen Vielfalt und begrüßen daher alle Bewerbungen - 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