Define and own the end-to-end technical architecture across data, AI, and platform domains
Work across a multi-squad, multi-domain engineering organisation
Define Architecture Decision Records
Lead cross-functional technical forums
Translate business goals into coherent, long-term engineering roadmaps
Scope spans cloud-native infrastructure, data platform architecture, AI/ML system design, API governance, and security and compliance including GDPR

8–15 years of experience in software or data engineering
3+ years in a formal architecture role (Principal, Staff, or Enterprise Architect level)
Demonstrated architecture leadership across multiple squads or domains
Enterprise or solution architecture practice — TOGAF or equivalent formal methodology
Deep hands-on experience with cloud-native architecture on at least one major provider: AWS, GCP, or Azure
Strong knowledge of data architecture patterns: Data Mesh, Lakehouse, Data Warehouse
API design and governance : REST, GraphQL, and event-driven architecture at platform scale
Microservices and distributed systems design in production environments
Experience defining and maintaining Architecture Decision Records (ADRs) across multi-team environments
Security and compliance architecture including GDPR and data privacy frameworks
Strong trade-off analysis skills
Proven ability to mentor and align engineering teams around architectural principles without direct authority
Credible stakeholder influence at CTO and product director level
English: C1 (Advanced) — mandatory
Based in Portugal — mandatory

Enterprise Architect, Data, AI, Cloud

Key skills