Data Architect (Big Data & Azure)

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 3500 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 programs 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.

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