Enterprise Data Lake Architect | Microsoft Fabric Expert

Saputo Inc.; Mississauga; On-site; CAD 118,000 - 154,000; Full time

Benefits offered by this job

Group insurance

Retirement plan

Telemedicine program

Employee share ownership

Parental leave

Paid time off

RRSP & TFSA

Training & development

Saputo Flex program

Product discounts

Job summary

Saputo Inc. seeks an IT Analytics Architect to lead the design of a unified analytics ecosystem. You will shape enterprise data lake architecture, drive self-serve insights, and enable real-time analytics across domains using Microsoft Fabric and related Azure services.

The role requires hands-on leadership across ingestion, modeling, governance, and platform optimization, partnering with governance and DevOps and supporting data scientists and analysts.

Qualifications

• Bachelor’s degree or higher in a related field.
• 6+ years of experience in data and analytics architecture, data engineering, and big data analytics.

Responsibilities

• Lead architecture reviews for analytics and data solutions.
• Define data lake architecture using Microsoft Fabric for structured and unstructured data.
• Design data models, storage strategies, and data lifecycle frameworks.
• Establish data ingestion, transformation, and consumption patterns (Bronze-Silver-Gold).
• Partner with Governance and DevOps to ensure security, lineage, and quality controls.

Skills

Data architecture design

MS Fabric

PySpark

SQL

Data modeling

Security & governance

API & streaming

Education

Bachelor’s degree in Computer Science or related field

Tools

Microsoft Fabric

Databricks

Azure services

Job description

Saputo Inc. seeks an IT Analytics Architect to lead the design of a unified analytics ecosystem. You will shape enterprise data lake architecture, drive self-serve insights, and enable real-time analytics across domains using Microsoft Fabric and related Azure services.

The role requires hands-on leadership across ingestion, modeling, governance, and platform optimization, partnering with governance and DevOps and supporting data scientists and analysts.