Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

Do these words resonate with you? 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.

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.)




- 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. 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.)
- Excellent communication skills in French and English. English is required, as the position involves communicating with clients and colleagues located outside Quebec. Technical skills 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)




- 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.). 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
- Minimum of 3 weeks of vacation starting from the first year
- 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 workplace 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. #

📌 Data Architect (Big Data & Azure) (Montreal)
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📍 Montreal