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 up-to-date 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