Job 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

Profile

• 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.
  

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);

• 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.
  

Only candidates who are legally authorized to work for any employer in Canada will be considered.

Wepoint 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.

#tech&security