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Added 2 months ago
Enterprise Support Engineer I
Evertz
Burlington, Ontario
Full-time
Evertz is looking for highly technical and self-motivated individuals for a challenging role in enterprise class software/hardware support engineering. If you are looking to learn and grow…
Added 3 months ago
Enterprise Support Engineer I
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IT Architect, Architecture & Analytics – Enterprise Analytics
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Mississauga, ON
Full-time
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Saputo Inc.

IT Architect, Architecture & Analytics – Enterprise Analytics

Mississauga, ON, Canada

Pay: Salary: $117,560 to $154,300
Job type: Full-time
Apply by: Oct 18, 2026
Experience: 6+ years of experience in data and analytics architecture, data engineering, and big data analytics platforms
Posting language: English
Posted: Sep 18, 2026

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Original job description

At Saputo, we bring good 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. Ready to bring your best?

Overview of the role:

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.

How you will make contributions that matter:

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.

Key Responsibilities:

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
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.

Source System Integration

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.

Platform & Technology Leadership

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.

Collaboration & Stakeholder Engagement

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.

Governance

Partner closely with the Analytics Governance & DevOps Specialist to ensure governance, security, privacy, and deployment controls are reflected in architectural standards and solution designs.

Cost & Capacity (FinOps)

Balance performance, scalability, usability, and cost when defining architectural trade-offs.
Design solutions aligned with capacity planning, FinOps principles, and cost optimization strategies.

Success Measures

Success in this role is measured by:

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.

Required Skills & Experience:

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.
(Preferred) Understanding of data requirements of Agentic AI and MLL
(Preferred) Certifications in Azure (AZ-305) and Fabric (DP-700, DP-600)
(Preferred) Familiarity with data governance tools and frameworks.
(Preferred) Experience with DevOps/DataOps practices and CI/CD for data pipelines.
Key Competencies

Strategic thinking and architectural design expertise
Strong problem-solving and analytical skills
Excellent communication and stakeholder management
Ability to balance innovation with practical implementation
Leadership and mentorship capabilities

We support and take care of our employees and their families by offering :

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

Salary: $117,560 to $154,300

Salary offers will vary commensurate with experience, education, skills, and training.

________________________________________________________________________________________

STATEMENT ON AI

All applications are carefully considered by our Talent Acquisition team.

Artificial Intelligence tools may be used in screening applications.

Artificial Intelligence is not used to assess or select applications.

In Canada, Saputo is a leading cheese manufacturer and fluid milk and cream processor, with a portfolio of well-loved brands such as Dairyland, Armstrong, Neilson, Alexis de Portneuf, and many more. 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.

The 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. This would include immigration laws pertaining to work authorization requirements and any other applicable government permissions or compliance. The materials on this site are provided without warranties of any kind, either expressed or implied, including but not limited to warranties regarding the accuracy or completeness of the information contained on this site or in any referenced links. While Saputo attempts to update this site on a timely basis, the information is effective only as of the time and date of posting. Strict confidentiality will be observed at all times. Saputo is an equal opportunity employer. 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. Accommodations up to the point of undue hardships, are available on request for candidates taking part in all aspects of the selection process.

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More about this job

Responsibilities

The IT Architect will design and evolve the enterprise data lake platform on Microsoft Fabric to enable scalable, secure, and high-performance analytics. They will define architectural standards, integration patterns, and data models while collaborating with cross-functional teams to drive data-driven decision-making.

Requirements

Candidates must have a bachelor's degree and at least 6 years of experience in data and analytics architecture, specifically with enterprise-scale data lakes. Proficiency in Microsoft Fabric, data integration patterns, and modern data platform technologies is essential for this role.

Skills

Data architecture
Microsoft Fabric
Data engineering
Data lake
ETL/ELT
PySpark
SQL
KQL
DAX
Semantic modeling
Data governance
Cloud services
API integration
Streaming technologies
FinOps
Architecture design

Benefits

Group insurance
Group retirement plan
Telemedicine
Employee share ownership plan
Paid parental leave
Paid time off
Collective RRSP
TFSA
Training and development programs
Flexible work environment
Employee discounts

Visa sponsorship

Not detected in the job text

Keywords

IT Architect
Microsoft Fabric
Data Lake
OneLake
Data Engineering
Analytics
PySpark
SQL
KQL
DAX
Medallion Architecture
ETL
ELT
API
FinOps
Data Governance
DevOps
DataOps
Azure
Cloud Computing
Semantic Models
Data Modeling
Enterprise Architecture
Streaming
Real-time Analytics
CPG
Data Integration
Architecture Reviews
Capacity Planning
Digital Transformation

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