Design data models at the conceptual, logical and physical levels;
Define and evolve the enterprise data architecture, including the Data Lake and medallion architecture (Bronze, Silver, and Gold);
Evaluate and validate data models developed by technical teams;
Support and guide teams during the modeling and implementation of data solutions;
Propose improvements to the data architecture based on impact analysis and data engineering best practices;
Ensure standardization, organization, and versioning of Python code and SQL queries;
Develop, review and guide data pipelines and transformations using best practices;
Support the development and maintenance of data model and metadata repositories;
Promote standards, best practices, and data architecture concepts across teams;
Support data governance, data quality, and master and reference data management initiatives;
Contribute to building a corporate vocabulary, data glossary, and metadata standardization;
Provide technical opinions and guidance related to the architecture, organization, and strategic use of data.

Bachelor's degree in Information Technology or related fields;
Postgraduate degree in IT, OR six certifications in the area of expertise or in agile methodologies;
Proven experience in data architecture;
Experience with Data Lake architecture and medallion model;
Experience with data modeling (conceptual, logical and physical);
Experience with Python for data manipulation, transformation, and integration;
Experience with SQL for querying and optimizing data;
Experience with versioning and code review for Python and SQL;
Knowledge of data engineering best practices, data quality, and pipeline organization;
Experience with dbt for data transformation (advantageous);
Experience implementing data governance tools and metadata management (advantageous).

Important: All positions are open to professionals with disabilities and committed to gender and racial/ethnic equity.

Data Architect

Key skills