Data Architect: Microsoft Fabric & Data Platform Lead

Capgemini; Lisboa; Híbrido; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work policy

Learning & growth opportunities

Health insurance

Life insurance

Referral program

Fringe benefits

Resumo da oferta

Capgemini Portugal is seeking an experienced Data Architect with a strong focus on Microsoft Fabric to shape end-to-end data platform solutions. You will guide technical delivery, shape architectures for clients, and drive governance, security, and cost awareness across projects.

Your role spans discovery, design, implementation, and operationalization, collaborating with Azure services, data engineering, and BI teams to deliver scalable, enterprise-grade data solutions.

Qualificações

• Experience designing and implementing end-to-end data platforms.
• Strong knowledge of Microsoft Fabric components and Azure data services.
• Proven ability to guide architectural decisions and trade‑offs.

Responsabilidades

• Lead data platform architecture initiatives from discovery to deployment.
• Define target architectures based on Fabric components like Lakehouse, Data Factory, and Power BI.
• Guide delivery teams through architecture decisions to ensure quality and scalability.
• Establish data modeling standards and governance, security, and compliance principles.

Conhecimentos

Data architecture

Microsoft Fabric

Azure data services

Data governance

CI/CD for data

Stakeholder comms

Problem solving

Formação académica

Microsoft certifications (Fabric, Azure Data Engineer/Architect)

Ferramentas

Power BI

Purview

Azure DevOps

GitHub

Descrição da oferta de emprego

Capgemini Portugal is seeking an experienced Data Architect with a strong focus on Microsoft Fabric to shape end-to-end data platform solutions. You will guide technical delivery, shape architectures for clients, and drive governance, security, and cost awareness across projects.

Your role spans discovery, design, implementation, and operationalization, collaborating with Azure services, data engineering, and BI teams to deliver scalable, enterprise-grade data solutions.