About this role
Data Architect (Microsoft Fabric Focus)
YOUR ROLE
We are looking for an experienced Data Architect with a strong focus on Microsoft Fabric to strengthen Capgemini Portugal’s Data & AI team. This professional will be responsible for architecting end-to-end data platform solutions, guiding technical delivery across projects, and supporting commercial initiatives by shaping scalable, secure, and cost-effective architectures for our clients.
In this role you will play a key role in:
- Lead data platform architecture initiatives end-to-end, from discovery and design to implementation and operationalization;
- Define target architectures based on Microsoft Fabric components (e.g., OneLake, Lakehouse/Warehouse, Data Engineering, Data Factory, Real-Time Analytics, Power BI) aligned with business outcomes;
- Guide project delivery teams through architecture decisions, trade-offs, and technical problem solving to ensure quality and scalability;
- Design data integration patterns (batch/streaming), including ingestion, transformation, orchestration, and ELT/ETL best practices;
- Establish data modeling standards (dimensional, data vault, domain-oriented) and patterns for analytics-ready datasets;
- Drive governance, security, and compliance architecture (IAM/RBAC, data privacy, lineage, cataloging, and monitoring);
- Define and implement DevOps/DataOps and CI/CD practices for Fabric workloads (versioning, testing, deployment pipelines);
- Support pre-sales and commercial initiatives: contribute to solutioning, estimations, proposals, and client workshops; translate requirements into architecture and roadmap;
- Collaborate with broader cloud and data ecosystem teams (Azure services, integration platforms) to deliver coherent solutions.
YOUR PROFILE
- Minimm of 5 years of experience in data architecture, data engineering, or modern data platform delivery, with a strong architecture and stakeholder component~;
- Proven experience designing and implementing solutions on Microsoft Fabric and/or modern Azure data services;
- Strong knowledge of:
- Lakehouse architecture, data warehousing, and analytics patterns
- Data integration/orchestration, performance optimization, and cost control
- Data governance and security by design (privacy, access control, auditing, lineage)
- Experience with CI/CD and automation for data platforms (Azure DevOps/GitHub, IaC is a plus);
- Comfortable engaging with both technical and non-technical stakeholders, able to explain architecture trade-offs clearly;
- Structured problem-solving, ownership mindset, and ability to work in