In collaboration with the Director, Data & Analytics Solutions, the incumbent defines, evolves, and maintains the target data architecture and business intelligence ecosystem. The person in this role designs scalable, up-to-date, and AI-ready data solutions while ensuring data consistency, governance, and business value across the organization.

Responsiblities

- Define, document, and maintain target data architectures, including Data Warehouse, Data Lake, Lakehouse, and BI solutions across modern cloud platforms such as Snowflake, Azure, Microsoft Fabric, Power BI, dbt, and BigQuery.

- Design and evolve enterprise data models, including dimensional, Data Vault 2.0, and BI semantic layer architectures.

- Ensure data integration and consistency across multiple enterprise systems, including ERP, CRM, CRS, DCS, and other airline-related platforms.

- Establish standards and best practices for data modeling, integration, transformation, quality, governance, cataloging, lineage, and security.





- Design AI-ready architectures that support advanced analytics, machine learning, predictive models, personalization, optimization, and generative AI use cases.

- Promote DataOps, DevOps, CI/CD, and MLOps practices, including automated testing, deployment, monitoring, and continuous improvement of data pipelines.

- Collaborate with enterprise architects, solution architects, data engineers, BI teams, and business stakeholders to align data strategy with organizational objectives.

- Monitor industry trends, evaluate emerging technologies, and recommend strategic data and AI initiatives that enhance business value and operational efficiency.

University degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Minimum of 8 years of experience in Data Architecture and more than 12 years of experience

📌 Data Architect (Montreal)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Montreal