Design data models at the conceptual, logical, and physical levels;
Guide and support teams during data modeling;
Assess and validate data models produced by development teams;
Define and evolve data architecture, including Data Lake and medallion architecture;
Propose improvements to the enterprise data architecture based on impact analyses;
Maintain up-to-date repositories of data models and metadata;
Promote data entity concepts and standardization across teams;
Support the use of corporate information and shared data;
Develop and support the creation of a corporate data vocabulary and glossary;
Support governance, data quality, and master/reference data management initiatives;
Produce technical reports and opinions on the use and organization of metadata;
Develop and review data pipelines and transformations following best practices.

Bachelor's degree in Information Technology or a related field;
Postgraduate degree in IT, OR 06 certification(s) in the field of practice or in agile methodologies;
Extensive proven experience in the data field or a related technical specialty;
Experience with data modeling (conceptual, logical, and physical);
Experience with data architecture (Data Lake / medallion model);
Experience with Python;
Experience with SQL Server;
Experience with BigQuery;
Experience with DBT;
Experience with version control and code review;
Experience with governance and metadata management.

Data Administrator

Key skills