Role Description We are looking for a Data Architect to join our teams and work on an international data modernization program. The successful candidate will play a central role in the design and development of the data architecture around Microsoft Fabric and Azure services, as well as in the technical consistency of several interconnected data scopes. Responsibilities - Define and develop the target data architecture based on Microsoft Fabric, Azure, and modern best practices (lakehouse, analytical warehouses, real time, etc.); - Design architectures for data collection, transformation, storage, and exposure adapted to large volumes and multiple business domains with the goal of creating an “AI Ready” environment; - Ensure consistency and interoperability between the program's various data areas (modeling, standards, component reuse); - Oversee technological choices and implementation patterns for data engineering teams (partitioning, optimization, governance, performance); - Contribute to the definition of data quality, security, and governance standards (traceability, cataloging, compliance, RBAC, etc.); - Participate in the scoping, design, and architecture review phases, and provide support during key migration and delivery phases; - Collaborate with business and IT stakeholders to align functional requirements, technical constraints, and target trajectory; - Work in an agile environment (SAFe type) with several distributed teams and multi-country challenges. Qualifications - Global vision and ability to structure a complex data landscape in a Microsoft Fabric & Azure environment, while remaining pragmatic; - Excellent communication, popularization, and negotiation skills with a variety of stakeholders (business, IT, security, architecture); - Technical leadership and a taste for collaborative work with multidisciplinary teams; - Comfortable in an international and multi-country context (Canada, United States, Europe, etc.); - Analytical mind, sense of prioritization, and results-oriented; - Excellent communication skills in French and English. English is required, as the position involves communicating with clients and colleagues located outside Quebec. Requirements - Solid experience in data architecture on cloud platforms, ideally Microsoft Azure (Azure Data Lake Storage, Azure Synapse/SQL, integration services, analytics, etc.); - Very good knowledge of Microsoft Fabric and its main workloads (Data Warehouse, Lakehouse, Data Engineering, Data Factory, Power BI, Real-Time Analytics, OneLake); - Proficiency in lakehouse architectures and medallion patterns (bronze/silver/gold) on OneLake or similar architectures; - Hands-on experience modernizing or migrating existing analytical environments to Microsoft Fabric or a new unified data platform (migrations of pipelines, notebooks, warehouses, models); - Good command of SQL and at least one distributed processing or scripting language (Spark, PySpark, T-SQL, KQL, DAX as needed); - Good knowledge of DataOps/DevOps data practices (CI/CD, pipeline industrialization, automated testing, observability, monitoring); - Understanding of data governance, quality, and security issues in a unified analytics platform context (catalog, metadata, lineage, security, compliance); - Assets: Microsoft Fabric/Azure data certifications (Fabric Analytics/Data Engineer Associate, Azure Data Engineer, etc.). Experience - Minimum 7 years of experience in the data field, including several years in an architect or technical data lead role; - Proven experience in large-scale cloud environments, preferably on Azure and, ideally, projects involving Microsoft Fabric; - Experience in a multi-team and multi-country context, with frequent interactions with various stakeholders. Benefits - Minimum of 3 weeks of vacation starting from the first year; - Comprehensive group insurance with a generous employer contribution; - Employer contribution to a group RRSP; - Full remote work flexibility: Hybrid, Remote, or On-site; - A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.; - Annual IT equipment budget; - A balanced work environment with flexible working hours; - Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.; - An international community of experts ready to share their knowledge; - A company culture focused on individuals’ needs and their belonging to a strong community.