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# Architecte Data (H/F)

- **Company:** Nicholson SAS
- **Location:** Lille, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Bash Shell, Cloud Computing, Continuous Integration, Data Security, DevOps, Python (Programming Language), Cloud Services, Solution Deployment Descriptor, SonarQube, SQL Databases, Snowflake, Jupyter, Gitlab, Containerization, Kubernetes, Machine Learning Operations, Terraform, Artifactory
- **Published:** June 10, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=64cdcbdab8c517d8

## About the Role

Profil RecherchéExpérience : Minimum 5 ans d'expérience sur un poste similaire.

Expertise incontournable : Expérience avérée et solide dans l?administration d?une plateforme SNOWFLAKE.

## Description

Conception & Mise en ?uvre : Imaginer les nouveaux patterns nécessaires (périmètres ingestion, manipulation et restitution de données structurées ou non structurées) en tirant parti des capacités Cloud intégrées à Snowflake ou sur AWS. Vous les déploierez à l'échelle nationale et internationale.

Accompagnement : Guider les différentes équipes IT et métiers (locales et filiales) dans le déploiement et la prise en main de la plateforme Snowflake.

Activités PrincipalesCadrage & Architecture : Contribuer au cadrage des nouveaux besoins techniques métiers, analyser les documents d?architecture des assets existants et définir les nouveaux patterns (architectures fonctionnelle, applicative et technique).

Évolution de la Plateforme : Participer activement à l?évolution de la plateforme Data (gouvernance, contrôles, automatisation) et aux choix technologiques de l?offre à mettre en place.

Documentation & Industrialisation : Documenter les patterns retenus de manière détaillée afin de les rendre directement exécutables par les différentes Business Units.

Déploiement & Change Management : Accompagner le déploiement de la solution définie et veiller à la bonne prise en main de la plateforme par les équipes utilisatrices.

Compétences techniques requises : Data & Cloud : Architectures Data, Écosystème Snowflake, Services Cloud (AWS en priorité), Infrastructure as Code (Terraform).

DevOps & Conteneurisation : Kubernetes / EKS, CI/CD (Gitlab, Artifactory, SonarQube), IDC.

Data Ops / MLOps : Airflow, MLFlow, Jupyter, DBT.

Langages : SQL, Python, Shell.

Sécurité : Forte sensibilité aux problématiques de sécurité des données et aux normes associées.


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