IT Architect, Enterprise Applications - Analytics

Saputo Inc.•Georgetown, ON

5d•CA$117,560 - CA$154,300•Hybrid

About The Position

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.

Requirements

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 could 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-server culture.
Serve as a primary liaison facilitating effective communication and collaboration among Data Engineering, Business Intelligence, Security, Architecture teams, and various business units.

Nice To Haves

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

Responsibilities

Architecture Design and maintain the 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
Develop and maintain architectural blueprints, design documents, and integration standards.
Promote reusable patterns, templates, and frameworks across teams.
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 pipeline, following policies and procedures developed in partnership with Governance and DevOps specialist 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 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 analyst to ensure good 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.

Benefits

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