AI-Ready Data Architect: Scale & Govern Data Platforms

Manulife John Hancock; Toronto; Hybrid; CAD 140,000 - 190,000; Full time

Job summary

Manulife John Hancock seeks a Senior Data Architect to define and lead our data architecture strategy for scalable, secure, AI-ready data platforms across the organization. You will partner with stakeholders to establish data requirements, patterns, and governance while contributing hands-on in solution design and data engineering.

The role focuses on data lakehouse architectures, cloud-native platforms, and governance, with leadership across strategic data initiatives and reviews.

Qualifications

• 10+ years of experience architecting large-scale data solutions.
• Hands-on with modern data platforms (e.g., Azure Synapse, Databricks).
• Strong SQL/NoSQL knowledge and Python or Scala exposure.
• Expertise in data governance, lineage, security, and privacy compliance.
• Experience leading cloud data platform implementations and modernization.

Responsibilities

• Define and evolve segment data architecture vision and roadmap.
• Design scalable Data Lake, DW, and Lakehouse architectures.
• Lead data modernization, migration, and cloud transformation.
• Provide hands-on technical leadership for data pipelines and platforms.
• Ensure data security, governance, and regulatory compliance.
• Architect AI-ready data architectures for ML and Generative AI.

Skills

Data architecture

Data modeling

Data governance

Cloud computing

Azure Synapse

Databricks

SQL

Python

Security & compliance

Leadership

Education

Bachelor's degree in CS or related

Tools

Microsoft Fabric

Azure Data Factory

Azure Synapse Analytics

Databricks

Spark

Job description

Manulife John Hancock seeks a Senior Data Architect to define and lead our data architecture strategy for scalable, secure, AI-ready data platforms across the organization. You will partner with stakeholders to establish data requirements, patterns, and governance while contributing hands-on in solution design and data engineering.

The role focuses on data lakehouse architectures, cloud-native platforms, and governance, with leadership across strategic data initiatives and reviews.