Data Architect (Big Data & Azure)

OnePoint•Montreal, QC

9d•Hybrid

About The Position

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.

Requirements

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.
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);
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.

Nice To Haves

Microsoft Fabric/Azure data certifications (Fabric Analytics/Data Engineer Associate, Azure Data Engineer, etc.).

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.

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.