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Salary
≈ $70k – $167k per year (Estimated)
Location
Hybrid (Paris, France)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Feb 19, 2025. SFEIR scores D on the Alion truth index.

Overview
Company
Impact
Profile match
SFEIR is a French technology consultancy and AI engineering company based in Neuilly-sur-Seine near Paris that designs, builds and runs custom software, cloud, data and generative AI systems for large organisations. It employs about 950 consultants across eight offices in France, Luxembourg and Belgium, holds long-standing partnerships with Google Cloud, AWS, Microsoft, Databricks and Confluent, is an Anthropic Select partner and trains more than 5,000 people a year through SFEIR Institute. It hires Java, Python, JavaScript and .NET developers, data and cloud engineers, GCP architects, DevOps and MLOps engineers, often in Nantes and Brussels.

Chez SFEIR, l’IA est notre accélérateur dans tous nos métiers - du Cloud AI-Ready aux plateformes Data modernes, en passant par le développement augmenté.

SFEIR en 30 secondes

  • 950 consultants passionnés par la tech et augmentés par l'IA

  • 8 agences en France, au Luxembourg et à Bruxelles

  • Partenaire Anthropic Preferred (+ 170 certifiés)

  • 15 ans de partenariat Google Cloud + AWS, Scaleway, S3NS, Databricks, Snowflake, Confluent, DBT

  • +90 clients actifs et +5 000 personnes formées par an via SFEIR Institute

  • +150 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts

Ta mission

  • Concevoir des architectures data innovantes sur GCP - et les rendre implémentables par les équipes

  • Définir les patterns d'architecture et les best practices, et garantir la cohérence technique des solutions proposées

  • Piloter la mise en place de Data Mesh et de Data Fabric chez nos clients

  • Accompagner la modernisation des plateformes data legacy, avec les stratégies de migration qui vont avec

  • Conseiller nos clients sur leur stratégie data : tu parles autant au CDO qu'aux Data Engineers

  • Garantir scalabilité, performance et gouvernance - les trois à la fois, dès le design

  • Préparer le terrain pour l'IA : une plateforme data bien architecturée, c'est la condition d'entrée de tout cas d'usage GenAI sérieux

Ton terrain de jeu

  • Stack : Modern Data Stack (Data Mesh, Data Lakehouse), BigQuery, Cloud Composer, Dataflow, Pub/Sub, Data Governance (Dataplex, Data Catalog), Terraform, Cloud Build et Vertex AI

  • SFEIR AI : un parcours dédié pour maîtriser l'IA générative et le coding agentique

Ce qu'on cherche chez toi

  • 7 ans minimum d'expérience, dont 3 ans en architecture Data

  • Une expérience professionnelle confirmée sur Google Cloud

  • Une maîtrise des patterns d'architecture cloud-native

  • La capacité à communiquer avec les équipes techniques et business - un design que le métier ne comprend pas ne sera jamais adopté

  • Tu es passionné(e) : tu fais de la veille, tu as des projets perso

Ton évolution

  • Un Engineering Director qui t'accompagne

  • Une trajectoire au choix : Senior Staff Engineer → Senior Principal Engineer ou Engineering Manager

  • Formation continue avec accès à Google Cloud Skills Boost et aux certifications

  • Google Cloud Next, Data Cloud Summit : tu y vas, et parfois tu y parles

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