Data Architect (Big Data & Azure)

Description de l'entreprise 

Wepoint est l’architecte des grandes transformations des entreprises et des acteurs publics. 

Nous accompagnons nos clients de la stratégie à la mise en œuvre technologique, en nous attachant toujours à penser au-delà des évidences et à s’inscrire dans des logiques de Responsabilité Économique, Sociale, Environnementale et Technologique (RESET), pour créer de nouvelles façons de travailler, de nouveaux modèles économiques et de nouveaux lieux intelligents. 

En près de 20 ans, nous sommes devenus l’un des acteurs majeurs de la transformation numérique et employons 3 500 collaborateurs en Europe, en Tunisie et en Amérique du Nord ainsi qu’en Asie Pacifique. 

Ce que nous recherchons 

COURAGE - AUTHENTICITÉ - OUVERTURE - ENGAGEMENT - ÉLÉGANCE 

Autant de valeurs qui rejoignent les collaborateurs de Wepoint. 

Nous travaillons avec des talents engagés, prêts à partager leurs expertises dans des collectifs ouverts, qui ont le courage de prendre des initiatives et capables de se remettre en question. 

Au cœur des relations humaines et du respect de notre environnement, chez Wepoint, se trouvent l’authenticité et la volonté de toujours tendre vers l’excellence pour nos clients.

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.

Avantages Wepoint:

• Minimum de 3 semaines de vacances dès la première année; 

• Assurances collectives complètes avec contribution généreuse de l'employeur; 

• Contribution employeurs au REER collectif 

• Flexibilité de télétravail complète : Hybride, Distanciel, Présentiel.  

• Un bureau chaleureux, lumineux et accueillant qui vous offre : des fruits frais, du café, des breuvages, des repas occasionnels, etc. 

• Budget de matériel informatique annuel 

• Environnement de travail équilibré et flexibilité d'horaires;  

• Évolution de carrière : Formation et certifications, Apprentissage en-ligne ou en présentiel, Academy Wepoint, etc. 

• Une communauté internationale d’experts prêts à partager leurs connaissances; 

• Une culture d’entreprise axée sur les besoins des individus et leurs appartenances à une communauté forte