Senior Data Architect

Manulife

. Define and evolve the segment data architecture vision, standards, principles, and roadmap .

Posted 10/7/2026full-timeToronto • CanadaSenior💰 CA$113,000 - CA$163,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures, including Data Lakes, Data Warehouses, and Lakehouse solutions, while ensuring compliance with data governance and security standards. Proven ability to lead cloud transformation initiatives and provide technical leadership across data integration and analytics projects.

Highest-signal resume keywords

Data Architecture DesignCloud Transformation LeadershipSQL and NoSQL ProficiencyData Governance and ComplianceMachine Learning Data Solutions

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Applicant Tracking System Keywords

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Hard Skills

Data Lake ArchitectureData Warehouse ArchitectureData IntegrationData GovernanceData QualitySQLPythonAzure Data FactoryDatabricksSpark

Soft Skills

Technical LeadershipCommunicationCollaboration

Tools & Technologies

Microsoft FabricAzure Synapse AnalyticsDataOpsCI/CDMLOps

Industry Keywords

Data ModernizationData MigrationRegulatory ComplianceData MeshGenerative AI

Tech Stack

Tools & technologies

AzureCloudJavaNoSQLPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Define and evolve the segment data architecture vision, standards, principles, and roadmap
Design scalable Data Lake, Data Warehouse, and Lakehouse architectures for analytics, operational, and AI workloads
Establish architecture patterns and standards for data integration, metadata management, data governance, data quality, and data products
Lead data modernization, migration, and cloud transformation initiatives
Lead and contribute to data pipelines, integration frameworks, and cloud-native data platforms
Provide hands-on technical leadership for data ingestion, transformation, orchestration, and performance optimization
Design and implement scalable batch, streaming, and near real-time data processing solutions
Ensure data is secure, governed, and compliant with regulatory and privacy requirements
Partner with governance, risk, and security teams to promote trusted and responsible data use
Design AI-ready data architectures for machine learning, advanced analytics, and Generative AI solutions
Provide technical leadership and architecture governance across strategic data initiatives
Lead data architecture reviews, technology evaluations, and key design decisions
Partner with business and technology stakeholders, architects, and engineers to define data requirements, domains, consumption patterns, and scalable secure solutions

Requirements

What you’ll need

10+ years of experience architecting, designing, and delivering large-scale data solutions
Hands-on experience with modern data platforms such as Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Spark, or comparable technologies
Working knowledge of SQL and NoSQL databases
Proficiency in SQL and at least one relevant programming or scripting language such as Python, PySpark, Java, or Scala
Strong knowledge of enterprise data architecture, data modeling, data integration, and Data Lake, Data Warehouse, and Lakehouse patterns
Experience designing batch, streaming, and event-driven data solutions for analytical, operational, machine learning, and generative AI workloads
Strong understanding of Master Data Management, Reference Data Management, Data Governance, Data Lineage, and Data Quality
Proven experience leading cloud-based data platform implementations and modernization initiatives
Ability to lead architecture strategy while contributing to implementation of data solutions
Strong understanding of data security, privacy, regulatory compliance, access control, and responsible data use
Ability to evaluate data technologies, document architecture decisions, lead architecture reviews, and communicate complex trade-offs to technical and non-technical stakeholders
Experience with governed data products, domain-oriented data architectures, or data mesh concepts preferred
Experience in a large, complex, highly regulated organization preferred
Familiarity with Machine Learning, MLOps, and generative AI data architectures preferred
Working knowledge of DataOps, CI/CD, automation, performance optimization, monitoring, and operational resilience preferred
Bachelor's degree in computer science, engineering, information systems, or a related discipline, or equivalent practical experience

Benefits

Comp & perks

Flexible environment supporting learning and career growth
Well-being and inclusion support
Health insurance
Dental insurance
Mental health benefits
Vision insurance
Short-term disability insurance
Long-term disability insurance
Life insurance
AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Paid holidays, vacation, personal, and sick days in Canada
Statutory leaves of absence