AI-Ready Data Architect | Cloud Data Lakehouse Leader

Société Financière Manuvie; Toronto; Hybrid; CAD 113,000 - 163,000; Full time

Job summary

Société Financière Manuvie in Toronto seeks a Data Architect to shape data strategy, lead design, governance, and modernization of enterprise data platforms to support analytics, ML, and AI.

You will combine strategic leadership with hands-on delivery, building scalable data lakes, warehouses, and lakehouse patterns while ensuring security and regulatory compliance across the organization.

Qualifications

• 8+ years of experience architecting large-scale data solutions.
• Hands-on design/implementation with modern data technologies (Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Spark).
• Strong knowledge of enterprise data architecture, modeling, integration, and lakehouse patterns.
• Proficient in SQL and at least one programming language (Python/Java/Scala).
• Experience with batch, streaming, and event-driven data workloads.

Responsibilities

• Define and evolve segment data architecture vision, standards, and roadmaps.
• Design scalable Data Lake, Data Warehouse, and Lakehouse architectures for analytics, operational, and AI workloads.
• Establish reusable architecture patterns for data integration, governance, quality, and data products.
• Lead data modernization and cloud transformation initiatives; guide legacy environments to cloud platforms.
• Provide hands-on technical leadership in data pipelines, integration frameworks, and cloud-native platforms.

Skills

Data architecture

SQL

Python

Cloud data platforms

Leadership

Education

Bachelor's degree in computer science/engineering or related

Tools

Microsoft Fabric

Azure Data Factory

Azure Synapse Analytics

Databricks

Spark

Job description

Société Financière Manuvie in Toronto seeks a Data Architect to shape data strategy, lead design, governance, and modernization of enterprise data platforms to support analytics, ML, and AI.

You will combine strategic leadership with hands-on delivery, building scalable data lakes, warehouses, and lakehouse patterns while ensuring security and regulatory compliance across the organization.