Data Governance Pro: Lineage, Metadata & Stewardship

Devoteam Portugal; Lisboa; On-site; EUR 35,000 - 55,000; Full time

Job summary

Devoteam Portugal seeks a Data Governance professional to lead the mapping and cataloging of data assets and relationships across organizational domains. You will collaborate with Data Owners and architecture teams to validate governance practices and ensure end-to-end data lineage.

You will identify information gaps, data quality issues, and opportunities for improvement while documenting metadata for analytics, operations, and AI initiatives.

Qualifications

• Solid experience as a Data Governance Analyst, Data Steward, or Data Strategy Consultant.
• Proven track record in data lineage, metadata management, and data quality frameworks.
• Strong proficiency in T-SQL for data analysis, validation, and exploration.
• Solid understanding of data modeling principles and enterprise data domains.
• Fluency in English is mandatory.

Responsibilities

• Lead identification, mapping, and cataloging of data assets, entities, attributes, and business relationships across domains.
• Gather, document, and analyze source systems, data flows, and business rules for end-to-end data lineage.
• Collaborate with Data Owners, Data Stewards, business areas, and architecture teams to validate governance practices.
• Identify information gaps, data quality issues, and improvement opportunities in data management processes.
• Ensure consistent documentation and management of metadata across analytics, operations, and AI initiatives.
• Apply data modeling concepts to structure and streamline business data architecture.

Skills

Data governance

Data lineage

Metadata management

Data quality

T-SQL

Data modeling

Communication

Stakeholder management

Tools

Microsoft Fabric

Medallion Architecture

Data Mesh

Job description

Devoteam Portugal seeks a Data Governance professional to lead the mapping and cataloging of data assets and relationships across organizational domains. You will collaborate with Data Owners and architecture teams to validate governance practices and ensure end-to-end data lineage.

You will identify information gaps, data quality issues, and opportunities for improvement while documenting metadata for analytics, operations, and AI initiatives.