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Open nowPosted 590 days ago

Data Architect GCP

sfeir48 open roles

Where
Paris
Work mode
Hybrid
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Your applicationOpen nowData Architect GCPsfeir · Paris

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on sfeir's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. sfeir postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 590 days ago

sfeir median: 1 days open

The posting

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 Select (+ 100 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
  • 140 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

SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité.

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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on sfeir's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    sfeir's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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