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Wafx is seeking a Senior Data Architect in Porto to define enterprise data architectures and design scalable data products. You will enable analytics and AI initiatives through governed, reusable data solutions and data contracts.
The role requires 5+ years in data engineering/architecture and 2+ years as a Data or Solution Architect, with SAP-centric experience being a plus. A hybrid Porto setup and collaboration with cross-functional teams are expected.
Senior Data Architect with a minimum of 5 years of experience in Data Engineering, Data Modelling, or Data Architecture, including at least 2 years as a Data Architect or Solution Architect. Responsible for defining domain and enterprise data architectures, designing scalable data products, data contracts, and integration patterns, and enabling analytics and AI initiatives through governed, reusable, and high-quality data solutions.
PT Portugal
Porto - Hybrid (2x/week in the office)
Senior
Hybrid
Imediato
1 year
Yes
Years of Experience
Minimum 5 years of professional experience in Data Engineering, Data Modelling, or Data Architecture.
At least 2 years of experience as a Data Architect or Solution Architect.
Nice to Have
Experience in SAP-centric enterprise environments.
Experience in payments, financial services, or B2B platforms.
Functional Skills
Mandatory
Strong understanding of domain and enterprise data architecture across conceptual, logical, and physical modelling.
Ability to design reusable, domain-oriented data products and associated data contracts.
End-to-end understanding of integrations between source systems, data products, and consumers.
Working knowledge of metadata catalogues, business glossaries, lineage, stewardship, and data quality practices.
Ability to lead requirements workshops, negotiate trade-offs, and communicate architecture decisions effectively.
Understanding of privacy-by-design, security-by-design, and governance-by-design principles.
Nice to Have
Payments or mobility industry knowledge, including transaction, card, toll, or charging data structures.
Experience with SAP-centric environments.
Familiarity with architecture frameworks such as TOGAF.
Technical Skills
Mandatory
Dimensional, normalized, and Data Vault modelling.
Enterprise-scale Lakehouse architecture and Medallion architecture patterns.
Streaming, Change Data Capture (CDC), batch processing, and API integration patterns.
Data product and data contract design.
Databricks, Unity Catalog, and Azure Data Services.
Metadata management, data lineage, and governance tooling.
Nice to Have
Semantic modelling, ontologies, taxonomies, and knowledge graphs.
SAP S/4HANA, SAP BW, and Business Data Cloud structures and integrations.
Master Data Management (MDM) and Entity Resolution concepts.
Retrieval-Augmented Generation (RAG), Vector Search, and Hybrid Retrieval architectures for AI solutions.
TOGAF or equivalent architecture frameworks.
Education & Certifications
Mandatory
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Nice to Have
Master's degree in a relevant field.
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