Senior Data Architect - GDPR & Governance (Hybrid)

iTRTech Group; Lisboa; Híbrido; EUR 30 000 - 33 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Resumo da oferta

iTRTech Group in Lisbon or Porto is seeking a Senior Data Architect to lead Data Governance and Data Quality initiatives within a large enterprise. This hybrid, full-time role focuses on defining governance frameworks, policies, and quality controls across Microsoft Fabric, Databricks, and cloud environments.

You will collaborate with data owners, stewards, and engineers to establish data glossaries, catalogs, lineage, and dashboards, while guiding adoption and transformation programs.

Qualificações

• Strong knowledge of Data Governance and Data Quality practices
• Experience with Data Ownership and Data Stewardship
• Experience with Business Glossaries and Data Catalogues
• Knowledge of Data Lineage and metadata management
• Hands-on knowledge of governance tools and cloud platforms
• Fluent Portuguese and English

Responsabilidades

• Define and evolve Data Governance and Data Quality frameworks and policies
• Establish roles, responsibilities, and decision-making processes across stakeholders
• Develop data glossaries and catalogs; oversee data lineage and metadata systems
• Guide adoption of governance across Data Lakes, Lakehouses, NoSQL and analytical environments

Conhecimentos

Data Governance

Data Quality

Stakeholder Management

Cloud Platforms

Data Catalogues

Formação académica

Bachelor's degree in Computer Engineering/Software Engineering/Information Systems

Ferramentas

Microsoft Fabric

Databricks

Azure

AWS

Descrição da oferta de emprego

iTRTech Group in Lisbon or Porto is seeking a Senior Data Architect to lead Data Governance and Data Quality initiatives within a large enterprise. This hybrid, full-time role focuses on defining governance frameworks, policies, and quality controls across Microsoft Fabric, Databricks, and cloud environments.

You will collaborate with data owners, stewards, and engineers to establish data glossaries, catalogs, lineage, and dashboards, while guiding adoption and transformation programs.