Senior Data Architect

GBT Solutions, Lda; Porto; Híbrido; EUR 28 000 - 35 000; Tempo integral

Resumo da oferta

GBT Solutions is seeking a Data Architect to lead the data architecture for multiple domains in Porto/ Gaia with hybrid in-office days. You will define conceptual/logical/physical models, shape the enterprise data model, and drive Lakehouse standards to support analytics, AI, and digital services.

Ideal candidates have strong experience in data modelling, Data Vault, Databricks, and data governance. Collaboration with Enterprise Architecture and data teams is essential.

Qualificações

• Knowledge of data modelling at conceptual, logical and physical levels.
• Experience with dimensional modelling, Data Vault and data lakehouse patterns.
• Familiarity with data contracts, data governance, and metadata management.
• Understanding of streaming, CDC, batch processing, and API-based integration.

Responsabilidades

• Own and define data architecture for assigned business domains, including conceptual, logical, and physical data models.
• Design domain data models and contribute to the enterprise data model.
• Define and maintain Lakehouse modelling standards and best practices.
• Design reusable data products and establish data contracts covering schema, semantics, quality standards, and service-level expectations.
• Design end-to-end data flows supporting analytics, AI, and digital services.
• Define integration patterns across APIs, event-driven architectures, CDC, batch processing, and SAP ecosystems.
• Collaborate with Enterprise Architecture, Core IT, and source system teams on integration initiatives and modernization programs.
• Design semantic models and contribute to ontology and knowledge graph initiatives.
• Support AI initiatives by advising on retrieval architectures, vector search, graph-based approaches, and hybrid retrieval patterns.
• Define and promote entity resolution standards, master data, and reference data strategies.
• Facilitate architecture workshops, modelling sessions, governance reviews, and design assessments.
• Ensure privacy, security, and governance principles are incorporated into all architectural decisions.
• Provide technical leadership and architectural guidance to Data Engineers and Analytics Engineers.

Conhecimentos

Data modelling

Dimensional modelling

Data Vault

Lakehouse

Data contracts

Streaming

CDC

API integration

Batch processing

Databricks

Unity Catalog

Azure Data Services

Data governance

Data quality

Metadata management

Data lineage

Data integration

Descrição da oferta de emprego

Want to Make Waves in Tech? GBT Solutions Is the Place to Be!

About us:

GBT Solutions is a Portuguese technology company founded in 2018, part of the HFA Group, which was established in 1995. With a focus on delivering cutting-edge solutions across various industries, we foster a diverse and inclusive work environment and take pride in our commitment to excellence and innovation.

Position:

Data Architect

Location:

Vila Nova de Gaia / Porto, Portugal (2x week in office)

Salary:

CDI - 2000 to 2500€ x 14 month

B2B - up to 230€/day

Key Responsibilities

• Own and define data architecture for assigned business domains, including conceptual, logical, and physical data models.
• Design domain data models and contribute to the enterprise data model.
• Define and maintain Lakehouse modelling standards and best practices.
• Design reusable data products and establish data contracts covering schema, semantics, quality standards, and service-level expectations.
• Design end-to-end data flows supporting analytics, AI, and digital services.
• Define integration patterns across APIs, event-driven architectures, CDC, batch processing, and SAP ecosystems.
• Collaborate with Enterprise Architecture, Core IT, and source system teams on integration initiatives and modernization programs.
• Design semantic models and contribute to ontology and knowledge graph initiatives.
• Support AI initiatives by advising on retrieval architectures, vector search, graph-based approaches, and hybrid retrieval patterns.
• Define and promote entity resolution standards, master data, and reference data strategies.
• Facilitate architecture workshops, modelling sessions, governance reviews, and design assessments.
• Ensure privacy, security, and governance principles are incorporated into all architectural decisions.
• Provide technical leadership and architectural guidance to Data Engineers and Analytics Engineers.

Required Technical Skills

• Conceptual, logical, and physical data modelling.
• Dimensional modelling, normalized modelling, and Data Vault methodologies.
• Enterprise Lakehouse and Medallion Architecture patterns.
• Data product and data contract design.
• Streaming, Change Data Capture (CDC), API-based integration, and batch processing.
• Databricks, Unity Catalog, and Azure Data Services.
• Metadata management, data lineage, data governance, and data quality practices.
• Enterprise integration architecture and data flow design.

Nice-to-Have Skills

• Semantic modelling, ontologies, taxonomies, and knowledge graphs.
• SAP S/4HANA, SAP BW, or Business Data Cloud experience.
• Master Data Management (MDM) and Entity Resolution.
• Retrieval-Augmented Generation (RAG), Vector Search, and Hybrid Retrieval architectures.
• TOGAF or other enterprise architecture frameworks.
• Experience within mobility, payments, financial services, or B2B platform environments.

Equal opportunity:

GBT Solutions is an equal opportunity employer and values diversity. We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit.

By responding to this opportunity, I confirm that the data I provide constitutes personal data and that I have been informed, through the Privacy Policy, about how it is processed and about my rights. GBT Solutions does not request special categories of personal data; should I include any such data, I do so voluntarily and expressly consent to its processing, and I may omit it.

GBT Solutions may retain my profile and present it to client companies for suitable opportunities, based on its legitimate interest. I may object to this at any time by contacting [e-mail].