Big Data Cloud Azure Architect (M/F)

Project overview

As part of transformation and modernization projects for its Data information system, our client is looking for an experienced or senior Big Data Cloud Azure Architect.

You will be involved in the design, evolution, and implementation of Big Data architectures in an Azure Cloud environment, with strong challenges in performance, security, resilience, governance, and cost optimization.

You will be a key contact for the Data, Infrastructure, Architecture, and Security teams, and will contribute to the definition and improvement of the Big Data technical foundation.

Main missions

Technical environment

Cloud & Big Data:

Data & Cloud Services:

DevOps & Infrastructure:

Profile sought

• Big Data Architecture and Design
• Scope and cost Big Data projects.
• Design and propose Big Data architectures on Microsoft Azure, in line with business needs and technical requirements.
• Ensure the consistency, robustness, security, and sustainability of information system architectures.
• Write Software Architecture Documents (DAL) and contribute to the validation of Technical Architecture Documents (DAT).
• Participate in the definition of Big Data reference infrastructures and architectures.
• Platform Modernization and Evolution
• Lead and support migrations of Big Data platforms and components.
• Contribute to the modernization of existing environments, including:
• Migration from HDInsight to Azure Kubernetes Service (AKS).
• Migration from Azure Data Lake Storage Gen1 to Gen2.
• Upgrades and evolution of AKS clusters.
• Design technical solutions for PaaS service monitoring and data synchronization between production and non-production environments.
• Carry out POCs and technical experiments (POT).
• Governance, Security, and Performance
• Ensure compliance with architectural standards, Cloud best practices, and Data governance rules.
• Participate in architecture validation and governance bodies.
• Collaborate with Security teams (CISO) on risk analysis, remediation, and solution compliance.
• Contribute to infrastructure resilience and security efforts.
• Optimize platform resources, performance, and costs with a FinOps approach.
• Support and Coordination
• Participate in the definition and improvement of the Big Data foundation: typical architectures, technical stacks, tools, and best practices.
• Support and advise design teams and Data teams.
• Lead design workshops and working sessions with technical teams and partners.
• Manage infrastructure projects and oversee their implementation.
• Contribute to continuous process improvement and maintain technological watch.
• Participate in Agile environment work (Scrum, Kanban, and scaled agility).
• Microsoft Azure
• Azure Databricks
• Azure Synapse Analytics
• Azure HDInsight
• Azure Data Lake Storage Gen1 / Gen2
• Azure Storage V2
• Apache Spark, Hive
• Hadoop HDP / HDF
• Azure Data Factory
• Azure Kubernetes Service (AKS)
• Azure Functions
• Azure Event Hubs
• Azure Active Directory (Microsoft Entra ID)
• Power BI
• PostgreSQL
• Git, Maven
• Jenkins
• Ansible
• Terraform
• Harbor, Azure Container Registry (ACR)
• Datadog
• Proven experience in Big Data architecture and Data platform design.
• Solid mastery of the Microsoft Azure ecosystem and its Data services.
• Good expertise in Apache Spark, Azure Databricks, and Data Lake architectures.
• Experience in designing and modernizing Cloud and distributed architectures.
• Knowledge of Kubernetes environments and DevOps / Infrastructure as Code practices.
• Mastery of security, governance, performance, and resilience challenges.
• Sensitivity to FinOps challenges and Cloud cost optimization.
• Ability to write architecture documents and defend technical choices.
• Autonomy, analytical skills, technical leadership, and ability to support multidisciplinary teams.

Project details

• Start: 03/01/2027
• Duration: 16 mois renouvelable
• Remote: hybrid
• Location: Paris, France, FR
• Languages: French