Data Architect

About the role

Manulife is hiring a Data Architect in Toronto, Ontario, to shape and lead the data architecture strategy that delivers trusted, scalable, secure and AI-ready data capabilities. The role combines strategic architecture leadership with hands-on technical expertise, partnering with business and technology stakeholders to design scalable, secure data solutions for analytics, reporting, machine learning and AI. The position is hybrid.

Key responsibilities

• Define and evolve the segment data architecture vision, principles, standards and roadmap.
• Design scalable Data Lake, Data Warehouse and Lakehouse architectures for analytical, operational and AI workloads.
• Establish reusable patterns and standards for data integration, metadata management, data governance, data quality and data products.
• Lead data modernization, migration and cloud transformation initiatives.
• Provide hands-on leadership on data pipelines, integration frameworks and cloud-native platforms, including ingestion, transformation, orchestration and performance optimization.
• Design batch, streaming, event-driven and near real-time data processing solutions.
• Embed security, governance, privacy and regulatory requirements into designs, working with governance, risk and security teams.
• Design AI-ready architectures for machine learning, advanced analytics and generative AI.
• Lead architecture reviews, technology evaluations and solution trade-offs, and collaborate with stakeholders to turn business needs into scalable data solutions.

Required profile

• 8+ years of relevant experience architecting large-scale data solutions, or equivalent demonstrated expertise.
• Hands-on experience with modern data technologies such as Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Spark or comparable platforms.
• Experience leading cloud-based data platform implementations or modernization initiatives.
• Strong understanding of data security, privacy, access control and regulatory requirements.
• Preferred: experience with governed data products, data mesh, or regulated industries such as financial services, insurance or banking.

Required skills

• Enterprise data architecture, data modeling, data integration and modern lakehouse patterns.
• Proficiency in SQL and at least one language such as Python, PySpark, Java or Scala, plus working knowledge of SQL and NoSQL databases.
• Bachelor's degree in computer science, engineering, information systems or a related discipline, or equivalent practical experience.

What we offer

• Salary range of CAD 113,000 to 163,000, with incentive programs available.
• Customizable benefits including health, dental, mental health, vision, life and disability insurance, retirement savings plans and financial education.
• A flexible, inclusive environment with support for learning and growth.