At Saputo, we bring valuable to the table by making high-quality products, investing in our people, and supporting communities around the world . As a top 10 global dairy processor, we value contributions that matter and strive to foster an inclusive, growth-driven work environment. Saputo is seeking a highly skilled and motivated IT Analytics Architect to join our Data Engineering & Analytics team.

Reporting to the Senior Director of Data Engineering & Analytics, this role will play a critical part in the design and evolution of our enterprise data lake platform hosted on Microsoft Fabric. This role is responsible for defining scalable, secure, and high-performance data architectures, with a strong focus on integrating systems into a unified analytics ecosystem. The ideal candidate combines deep technical expertise in modern data platforms with strong architectural vision, enabling advanced analytics, self-serve reporting, data science and AI capabilities across the organization.

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.

Architecture

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 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. 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. 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.

Evaluate and recommend tools across Microsoft and non-Microsoft platforms (i.e. Databricks, AWS, etc..), frameworks, and best practices for modern data architecture. Ensure alignment with enterprise IT strategy, security standards, and governance policies.

Support business Data Analysts to ensure strong design patterns are followed in self-serve report and dashboard development. Performance & Scalability Optimize data pipelines and storage for performance, cost-efficiency, and scalability. Design architectures that support high-volume, high-velocity data processing.

Guide and assist citizen developers to create scalable, high-performing semantic models. Partner with business stakeholders, data engineers, analysts, and data scientists to understand requirements and translate them into architectural solutions. Act as a trusted advisor for data-driven initiatives and digital transformation programs.

Partner closely with the Analytics Governance & DevOps Specialist to ensure governance, security, privacy, and deployment controls are reflected in architectural standards and solution designs. Balance performance, scalability, usability, and cost when defining architectural trade-offs. Adoption of approved reference architectures and architectural standards across analytics initiatives.

Improved solution scalability, performance, and operability as platform usage grows. Reduced rework and production issues through strong architectural guardrails and design reviews. Improved cost transparency and optimization through architecture decisions aligned to capacity and FinOps practices.

Strong alignment between analytics solutions, governance requirements, and enterprise architecture strategy. 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). ~ 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. ~(Preferred) Understanding of data requirements of Agentic AI and MLL ~(Preferred) Familiarity with data governance tools and frameworks. ~(Preferred) Experience with DevOps/DataOps practices and CI/CD for data pipelines. Strategic thinking and architectural design expertise Ability to balance innovation with practical implementation Group retirement plan with employer contribution Paid Parental Leave program Training and development programs Saputo Flex Program, flexible work environment (schedule/location/time off) according to department needs Salary offers will vary commensurate with experience, education, skills, and training. ________________________________________________________________________________________ STATEMENT ON AI Artificial Intelligence tools may be used in screening applications.

Artificial

Intelligence is not used to assess or select applications. Whether your expertise lies in manufacturing, operations, supply chain management, sales, quality assurance, or in any other function, your role is integral to our success. You will make contributions that matter, all while working alongside colleagues who genuinely care about your success and who will roll up their sleeves to help.

This material contained herein is provided for informational purposes only. All open jobs offered by Saputo Inc. and all companies, corporations, partnerships, limited partnerships and other entities controlled by Saputo Inc. (collectively, “Saputo”) on Saputo's web site are subject to specific job skill requirements. The job skill requirements, qualifications, and preferred experience are determined by a Saputo subsidiary, office or department, and all positions are subject to local prevailing employment laws and restrictions.

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Saputo attempts to update this site on a timely basis, the information is effective only as of the time and date of posting. The information on this site is for information purposes only and is not intended to be relied upon with legal consequence. We support employment equity. Saputo strives to embed diversity and inclusion in its operations and invites candidates from all horizons to join its family. Saputo welcomes and encourages applications from people with disabilities.

📌 IT Architect, Architecture & Analytics - Enterprise Analytics (Mississauga)
🏢 SAPUTO
📍 Mississauga