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Databricks / Azure Data Platform Architect

Entreprise
EPAMESN
Localisation
Paris, Île-de-France
Hybride
Type de contrat
CDI
Niveau
Top profil

Salaire du marché

Médiane du marché
66k€
Estimation
60k€fourchette habituelle75k€

Cette offre n'affiche pas de salaire. D'après 13 offres pour ce poste (Top profil, Paris), le marché se situe autour de 66k€ (60k€–75k€).

Salaire du marché pour Architecte (Top profil) à Paris : médiane 66 000 €/an, P25–P75 : 60 000–75 000 €/an, n = 13 offres. Salaire Python à Paris

Baromètre TJM et salaires IT

Description du poste

We're looking for a Databricks / Azure Data Platform Architect to join our Data Analytics Consulting team in Paris . Working on a new product development project, you will lead the end-to-end design and development of a modern enterprise-scale data platform on Microsoft Azure and Databricks. This role offers the opportunity to shape the core data architecture, define the technical roadmap and guide engineering teams through greenfield implementation. The role involves working in a hybrid working mode with around one visit per month to the client site in Paris. Responsibilities Define and govern target enterprise architecture, technical roadmap and platform standards Design scalable lakehouse solutions using Azure Databricks, Delta Lake, Unity Catalog and ADLS Gen2 Establish robust patterns for data ingestion, transformation, orchestration, governance, security and observability Select, configure and integrate Azure services including Data Factory, Event Hubs, Key Vault, Entra ID and Power BI Architect and oversee batch, streaming and near real-time data pipelines Implement CI/CD pipelines and Infrastructure as Code (IaC) using Azure DevOps or GitHub Actions with Terraform/Bicep Define and enforce standards for data quality, data lineage, access control, disaster recovery and cost management Guide and mentor engineering teams through implementation and architectural decisions Collaborate closely with business, analytics, security and infrastructure stakeholders Requirements Bachelor's or Master's degree in Computer Science or related field, or equivalent experience Fluent French and English required Demonstrated ability to lead data engineering teams at EPAM and with the client Excellent client-facing consulting approach with the ability to advise senior stakeholders effectively Strong hands-on expertise in Azure Databricks, Apache Spark, Delta Lake and Unity Catalog Proven track record of building greenfield enterprise data platforms from the ground up Advanced knowledge of Azure networking, identity management, enterprise security and private connectivity Extensive experience with medallion/lakehouse architectures, dimensional modelling and data product design High proficiency in Python, SQL, Terraform and automated deployment practices Experience in Fast-Moving Consumer Goods (FMCG) domains is nice to have Relevant Databricks and Microsoft Azure certifications are advantageous

Exigences du poste

Compétences requises

  • Data Lake
  • Microsoft Access
  • Apache
  • Monitoring / Observability
  • HashiCorp Vault
  • Data Quality
  • Data Engineering
  • Delta Lake
  • Business Intelligence
  • Microsoft Teams
  • Apache Spark
  • Python
  • SQL
  • Power BI
  • Azure
  • Terraform
  • CI/CD
  • Databricks
  • GitHub Actions
  • Azure DevOps
  • Unity
  • DevOps
  • Entra ID
  • Batch
  • Infrastructure as Code
  • Software Architecture

Un plus

  • Roadmap
  • GitHub
  • Anglais
  • Network Administration
  • Management d'équipe
  • Azure Event Hubs
  • Azure Key Vault
  • Azure Services
  • PCA / PRA
  • Data Analysis
  • RBAC

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À propos de l'entreprise

EPAMESN
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