IT Architect, Architecture & Analytics – Enterprise Analytics

Saputo Inc.

IT Architect designing scalable data architectures for enterprise analytics at Saputo. Collaborating to deliver a unified data lake and optimize analytics capabilities.

Posted 5/22/2026full-timeSaint-Laurent • 🇨🇦 CanadaMid-LevelSenior💰 CA$117,560 - CA$154,300 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudERPETLPySparkSQL

About the role

Key responsibilities & impact

Enable enterprise-wide data access and trust by delivering a unified, well-architected data lake on MS OneLake that transforms fragmented data into a single, reliable source of truth.
Accelerate business decision-making through scalable, high-performance data architectures that support near real-time analytics and self-service insights.
Unlock value by designing robust integration patterns that bring previously siloed operational, SaaS, and external data into the analytics ecosystem.
Drive cost efficiency and scalability by optimizing data pipelines, storage strategies, and platform usage within Microsoft Fabric.
Strengthen data governance and compliance by partnering closely with the Analytics Governance and DevOps Specialist to ensure security, lineage, and quality controls are embedded in architecture design, ensuring data is both accessible and responsibly managed.
Lead and participate in formal architecture reviews for analytics and data solutions, ensuring alignment to enterprise architecture standards, security requirements, and governance models.
Define, publish, and maintain analytics reference architectures, architectural guardrails, approved design patterns, and overall architecture of the enterprise data lake using Microsoft Fabric for structured and unstructured data.
Define data models, storage strategies, and data lifecycle management frameworks.
Establish standards for data ingestion, transformation, and consumption layers (e.g., Bronze, Silver, Gold architecture), working closely with Governance and DevOps Specialist, and Data Engineer team.
Promote reusable patterns, templates, and frameworks across teams.
Review and approve architectural deviations and exceptions in partnership with Data Engineer team.
Own architectural considerations across the full analytics lifecycle: ingestion, transformation, modeling, consumption, performance optimization, archival, and decommissioning.
Architect integration patterns for enterprise systems (e.g., Workday, MS Dataverse, Manhattan WMS, SaaS platforms, operational systems, external data providers).
Design scalable ingestion frameworks for batch, streaming, and near real-time data pipelines.
Define and implement API-based, event-driven, and file-based ingestion patterns.
Ensure data quality, consistency, and traceability across all ingestion pipelines, following policies and procedures developed in partnership with Governance and DevOps Specialists and other Architects.
Provide technical leadership on Microsoft Fabric capabilities including Data Factory, OneLake, Lakehouse, Warehousing, OneLake Catalog, Fabric IQ, Synonyms & Linguistics and Real-Time Analytics.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or a related field
6+ years of experience in data and analytics architecture, data engineering, and big data analytics platforms
Proven experience designing enterprise-scale data lakes or Lakehouse architectures.
Hands-on experience with Microsoft Fabric or closely related Azure data services.
Strong expertise in data integration patterns (ETL/ELT, APIs, streaming, event-driven architecture).
Knowledge of real-time analytics and streaming technologies.
Experience integrating non-ERP enterprise systems with structured and unstructured data into data lake via cloud services.
Proficiency in Medallion Architecture, Fabric Workloads, PySpark, SQL, KQL, DAX, Semantic Model Designs, and Power Query.
Experience working in highly motivated cross-functional environments with both technical and business stakeholders.
Experience with large scale modern data and analytics transformations within a CPG company, implementing new platforms and data lakes, defining new ways of working to drive business value and outcomes through data and analytics in a self-serve culture.
Serve as a primary liaison facilitating effective communication and collaboration among Data Engineering, Business Intelligence, Security, Architecture teams, and various business units.

Benefits

Comp & perks

Generous and complete benefit coverage with group insurance
Group retirement plan with employer contribution
Telemedicine and assistance program for employees and their families
Employee Share Ownership Plan with an employer match
Paid Parental Leave program
Paid time off: Sick days, floater days and volunteer day off
Opportunity to contribute to a collective RRSP & TFSA
Training and development programs
Saputo Flex Program, flexible work environment (schedule/location/time off) according to department needs
Organized activities for employees and their families
Advantageous discounts on Saputo products

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata engineeringbig data analyticsdata lakesLakehouse architecturedata integration patternsETLELTPySparkSQL

Soft Skills

technical leadershipcommunicationcollaborationcross-functional teamworkproblem-solvingstakeholder managementorganizational skillsdecision-makingadaptabilityfacilitation