Data Governance Architect — Azure, Databricks & Lakehouse

Aubay; Lisboa; Híbrido; EUR 70 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

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Resumo da oferta

Aubay Portugal is looking for a Senior Data Governance professional to join our data team in Lisbon. You will define and implement robust data governance models, promoting best practices across a large-scale organisation and collaborating with technical, business and multidisciplinary teams.

Lead initiatives for Data Ownership, Data Stewardship, Business Glossary, Data Catalog and Data Lineage, and establish data quality metrics to ensure data integrity and reliability across cloud and data lake

Qualificações

• 5+ years of experience in Data Governance and Data Quality concepts (Data Ownership, Data Stewardship, Data Lineage).
• Unity Catalog experience, preferably on Azure Cloud, with strong cloud governance understanding.
• Knowledge of Microsoft Fabric and Databricks; experience with Data Lake and Lakehouse architectures; relational and NoSQL databases.
• Excellent communication in Portuguese and English for cross-functional collaboration.

Responsabilidades

• Define and implement robust Data Governance models across a large-scale organization.
• Collaborate with technical, business, and multidisciplinary teams to ensure effective data management strategies.
• Lead initiatives related to Data Ownership, Data Stewardship, Business Glossary, Data Catalog, and Data Lineage.
• Establish and enforce data quality metrics and standards to ensure data integrity and reliability.

Conhecimentos

Data Governance

Data Quality

Unity Catalog

Azure Cloud

Databricks

Data Lakehouse

Portuguese & English

Ferramentas

Microsoft Fabric

Databricks

Descrição da oferta de emprego

Aubay Portugal is looking for a Senior Data Governance professional to join our data team in Lisbon. You will define and implement robust data governance models, promoting best practices across a large-scale organisation and collaborating with technical, business and multidisciplinary teams.

Lead initiatives for Data Ownership, Data Stewardship, Business Glossary, Data Catalog and Data Lineage, and establish data quality metrics to ensure data integrity and reliability across cloud and data lake