{"id":2026978,"url":"https://alion.io/job/thelio-tech-lead-data-architect-ia-hf","title":"Tech Lead / Data Architect & IA (H/F)","company":{"id":3908697,"name":"Thelio","domain":"thelio.fr","url":"https://alion.io/company/thelio","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"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":["Bordeaux, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":106000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-21T09:44:43Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-23T17:45:10Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Rejoins Thélio, une entreprise spécialisée dans la modernisation et la structuration des écosystèmes Data et IA. En tant que Tech Lead / Architecte Data & IA, tu interviendras sur des projets stratégiques, de la conception de l'architecture cible jusqu'à la mise en production. Tu seras responsable de la performance, de la robustesse et de la scalabilité des plateformes, tout en promouvant les bonnes pratiques d'ingénierie et d'architecture au sein des équipes.\nMissions\nConcevoir et faire évoluer les architectures Data & IA, challenger l’existant, définir les modèles cibles.\nConcevoir et industrialiser les pipelines d’ingestion et de transformation pour alimenter les datalakes.\nPréparer les fondations data pour les cas d’usage IA et Machine Learning, gouvernance, qualité, traçabilité.\nProfil recherché\nPour t’épanouir sur ce poste, il faut aimer conjuguer **expertise technique, vision d’ensemble et leadership** :* 5 ans d’expérience minimum sur des projets Data d’envergure.\n* Solide expérience en **modélisation, architecture, conception et déploiement** de plateformes Data (Datawarehouse, DataLake, Lakehouse).\n* Maîtrise du **SQL** et d’au moins un langage de scripting (Python, Scala, etc.).\n* Bonne compréhension des **enjeux IA / ML** : préparation de données, MLOps, pipelines de features, intégration de modèles\n* Vision globale des **architectures Data Cloud** (Azure, GCP ou AWS).\n* Connaissance des principes **CI/CD, Infrastructure as Code, DataOps, monitoring et testing**.\n* Appétence forte pour l’innovation et la veille technologique.\n* Bon niveau d’anglais technique.\n**Stack technique (indicative)**\n* **Data Integration / Orchestration** : Airbyte, Fivetran, DBT, Apache Airflow, Dagster, Azure Data Factory, AWS Glue\n* **Data Platform** : Databricks, Snowflake, BigQuery, MS Fabrics, Amazon Redshift, AWS Athena, Delta Lake\n* **Infra / DevOps** : Terraform, Azure DevOps, Docker, Kubernetes\n* **Langages** : SQL, Python, Spark\n* **MLOps / IA (plus)** : MLflow, Feature Store, Vertex AI, Azure ML, Databricks ML, APIs LLM\n*(Les outils de data visualisation ne sont pas au cœur du poste, mais une compréhension des enjeux de restitution est un plus.)*","description_format":"text","description_chars":2182,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced 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