Data Architect (Big Data & Azure) at Wepoint

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

27 Jun, 26

Salary

0.0

Posted On

29 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Microsoft Fabric, Azure, Lakehouse, Analytical Warehouses, Real Time, Data Collection, Data Transformation, Data Storage, Data Exposure, Data Modeling, Data Governance, Data Quality, Data Security, SQL, Spark

Industry

Business Consulting and Services

Description

Company Description 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). Our goal is to create new ways of working, new economic models, and smarter environments. 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. What We Are Looking For COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE Do these words resonate with you? They are our company values. At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve. At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients — this is what we expect from our future colleagues. 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 As an architect of major transformations for companies and public sector players, Wepoint is building a direction and outlining future prospects in an uncertain world, by putting technological innovation at the service of its customers' and society's progress.

Responsibilities

The Data Architect will define and develop the target data architecture using Microsoft Fabric, Azure, and modern best practices, focusing on creating an 'AI Ready' environment for large volumes of data. This role involves overseeing technological choices, ensuring consistency across data areas, and contributing to data quality, security, and governance standards.