{"id":4160370,"url":"https://alion.io/job/talan-lead-data-engineer-snowflake-hf-cdi-2","title":"Lead Data Engineer Snowflake H/F - CDI","company":{"id":3616,"name":"Talan","domain":"talan.com","url":"https://alion.io/company/talan","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":109,"ghost_share":0,"stale_share":0.982,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Aix-en-Provence, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T10:57:16Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T18:40:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"À propos de Talan\nFondé en France, Talan est aujourd’hui un groupe international qui accompagne ses clients dans leur transformation Data & IA, de bout en bout, en combinant conseil en management et expertise technologique.\nAvec plus de 6000 collaborateurs sur 5 continents, nous accélérons les transformations de nos clients à travers des partenariats de long terme, en créant un impact mesurable et durable.\nNotre proposition de valeur repose sur un écosystème d’innovation structuré : 2 500 experts Data & IA, des solutions propriétaires construites sur des modèles avancés et un laboratoire de recherche appliquée, de développement expérimental et d’innovation.\nNous traduisons l’innovation technologique en avantage concurrentiel depuis plus de 20 ans dans des secteurs stratégiques : banques et services financiers, énergie, transport et mobilité, luxe et distribution, santé.\nPorté par sa promesse de Positive Innovation, Talan s’impose comme un acteur de référence pour répondre à la complexité croissante des environnements économiques, technologiques et réglementaires.\nwww.talan.com\n En tant que Lead Data Engineer, vous êtes la référence technique de la plateforme data. Vous définissez les standards d’ingénierie, les patterns d’architecture et les bonnes pratiques permettant de construire des pipelines fiables, observables, industrialisés et scalables. Ce rôle couvre l’ensemble du flux de données - ingestion, transformation, exposition - avec une forte attente sur la maîtrise de la production, la qualité logicielle et l’excellence opérationnelle.\nResponsabilités principales\nDéfinir et faire évoluer l’architecture des pipelines et des traitements data.\nStructurer les patterns d’ingénierie couvrant ingestion, transformation et exposition.\nMettre en place les standards DataOps de l’équipe : CI/CD, tests automatiques, qualité, monitoring, alerting, exploitation.\nPiloter la stratégie de fiabilité en production : observabilité, incidents, reprises, SLA / SLO.\nGarantir la performance, la scalabilité et la maîtrise des coûts.\nDéfinir les standards de modélisation et d’industrialisation.\nEncadrer techniquement les Data Engineers et sécuriser les choix techniques.\nCollaborer avec les équipes Cloud, Platform, Sécurité, Analytics et Architecture.\nContribuer aux chantiers de modernisation, rationalisation et migration des plateformes data.\n En tant que Lead Data Engineer, vous êtes la référence technique de la plateforme data. Vous définissez les standards d’ingénierie, les patterns d’architecture et les bonnes pratiques permettant de construire des pipelines fiables, observables, industrialisés et scalables. Ce rôle couvre l’ensemble du flux de données - ingestion, transformation, exposition - avec une forte attente sur la maîtrise de la production, la qualité logicielle et l’excellence opérationnelle.\nResponsabilités principales\nDéfinir et faire évoluer l’architecture des pipelines et des traitements data.\nStructurer les patterns d’ingénierie couvrant ingestion, transformation et exposition.\nMettre en place les standards DataOps de l’équipe : CI/CD, tests automatiques, qualité, monitoring, alerting, exploitation.\nPiloter la stratégie de fiabilité en production : observabilité, incidents, reprises, SLA / SLO.\nGarantir la performance, la scalabilité et la maîtrise des coûts.\nDéfinir les standards de modélisation et d’industrialisation.\nEncadrer techniquement les Data Engineers et sécuriser les choix techniques.\nCollaborer avec les équipes Cloud, Platform, Sécurité, Analytics et Architecture.\nContribuer aux chantiers de modernisation, rationalisation et migration des plateformes data.\n Snowflake : bases, schémas, warehouses, optimisation des requêtes et gestion des coûts.\nSQL ELT, gestion des données semi-structurées (JSON) et patterns d’ingestion cloud.\nSnowpipe / Snowpipe Streaming, Streams, Tasks, Dynamic Tables selon les cas d’usage.\nRBAC, policies de sécurité, masking et gouvernance des accès.","description_format":"text","description_chars":3951,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Management Consulting","AI Consulting & 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