Architecte de solutions cloud - Données et analytique / Cloud Solution Architect - Data & Analytics

Role overview

Architecture and modernization

• Assess customer data environments, priorities, and success measures for modernization, governance, analytics, and generative or agentic AI readiness.
• Design and deploy modern Azure data platforms and lead migrations to Microsoft Fabric, Azure Databricks, Azure Data Lake, and Azure databases.
• Apply Well-Architected Framework and landing-zone practices, data modeling, ETL/ELT, security, resilience, cost and performance optimization, and operational-readiness principles.

Operations and technical leadership

• Support health, resilience, security, capacity, sovereignty, residency, and regulatory compliance for critical data workloads.
• Lead architecture reviews, proofs of concept, minimum viable products, and production deployments.
• Support advanced analytics and machine learning using Fabric, Azure Databricks, Azure Machine Learning, and Azure AI Foundry.

Customer and community engagement

• Build customer and partner relationships, resolve technical obstacles, and share customer feedback with Microsoft product engineering teams.
• Run technical workshops, hackathons, and cloud-readiness activities; share reusable assets and best practices with the data architecture community.

Minimum qualifications

• The supplied description begins a bachelor's degree requirement and lists computer science, information technology, engineering, business administration, and liberal arts, but the qualification text is truncated.
• Relevant technical expertise includes Azure data services and may include SQL, Python, Spark/PySpark, KQL, or DAX.

Organization