The Data Architect will shape and lead the data architecture strategy that enables trusted, scalable, secure, and AI-ready data capabilities across the organization.

In this role, you will provide technical and architectural leadership across the design, governance, modernization, and implementation of enterprise data solutions and platforms supporting analytics, reporting, machine learning, and AI.

You will combine strategic architecture leadership with hands-on technical expertise, contributing directly to solution design, data platform engineering, and implementation where your expertise can have the greatest impact.

You will partner with business and technology stakeholders, architects, and engineers to understand data requirements, define data domains and consumption patterns, and design scalable, secure data solutions that support business outcomes. **Position Responsibilities:** Define and evolve the segment data architecture vision, principles, standards, and roadmap.

Design scalable Data Lake, Data Warehouse, and Lakehouse architectures supporting analytical, operational, and AI workloads.

Establish reusable architecture patterns and standards for data integration, metadata management, data governance, data quality, and data products.

Lead data modernization, migration, and cloud transformation initiatives, helping teams evolve legacy data environments toward modern cloud-based platforms.

Provide hands-on technical leadership in the design and implementation of data pipelines, integration frameworks, and cloud-native data platforms, including data ingestion, transformation, orchestration, and performance optimization.

Design scalable batch, streaming, event-driven, and near real-time data processing solutions based on business and technology needs.

Embed data security, governance, privacy, and regulatory requirements into architecture and solution design in partnership with governance, risk, and security teams.

Design AI-ready data architectures that enable machine learning, advanced analytics, and generative AI solutions.

Provide technical and architecture leadership across strategic data initiatives, including architecture reviews, technology evaluations, solution trade-offs, and key design decisions.

Collaborate with business stakeholders, architects, engineers, and other technology partners to translate business needs into practical, scalable data solutions. **Required Qualifications:** Extensive experience architecting, designing, and delivering large-scale data solutions, typically gained through 8+ years of relevant experience or equivalent demonstrated expertise.

Hands-on experience designing or implementing solutions using modern data technologies such as Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Spark, or comparable platforms.

Strong knowledge of enterprise data architecture, data modeling, data integration, and modern Data Lake, Data Warehouse, and Lakehouse patterns.

Proficiency in SQL and at least one relevant programming or scripting language, such as Python, PySpark, Java, or Scala, along with working knowledge of SQL and NoSQL database technologies.

Experience designing modern data solutions using batch, streaming,



and/or event-driven patterns across analytical, operational, or AI/ML workloads.

Solid understanding of enterprise data management practices, including data governance, data lineage, data quality, and master or reference data management.

Experience leading cloud-based data platform implementations or modernization initiatives, with the ability to provide architecture direction while remaining engaged in technical solution design and implementation.

Strong understanding of data security, privacy, access control, regulatory requirements, and responsible data use.

Ability to evaluate technologies, document architecture decisions, lead architecture reviews, and clearly communicate technical options and trade-offs to both technical and non-technical stakeholders. **Preferred Qualifications** : Experience implementing governed data products, domain-oriented data architectures, or data mesh concepts in a large enterprise environment.

Experience working in a large, complex, or highly regulated organization, such as financial services, insurance, banking, wealth management, retirement, or another regulated industry.

Familiarity with machine learning, MLOps, and data architectures supporting generative AI solutions.

Working knowledge of Data

Ops, CI/CD, automation, platform monitoring, performance optimization, and operational resilience for data platforms.

Bachelor's degree in computer science, engineering, information systems, or a related discipline, or equivalent practical experience. **When You Join Our Team** : We'll empower you to learn and grow the career you want.

We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our global team, we'll support you in shaping the future you want to see. _If you are applying to this role in US, please note the salary range is $107,450 to $199,550 USD.

Additionally, employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance._ The role being advertised is an existing vacancy. **Acerca de Manulife y John Hancock** Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor.

Para obtener más información acerca de nosotros, visite http://www.manulife.com . **Manulife es un empleador que ofrece igualdad de oportunidades** En Manulife/John Hancock, valoramos nuestra diversidad.

Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas.

Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración,



y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.

Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo.

Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud.

Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes.

Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a [email protected] . **Referenced Salary Location** CAN, Ontario, Toronto, 200 Bloor Street East **Modalidades de Trabajo** Híbrido **Salary range is expected to be between** $113,000.00 CAD - $163,000.00 CAD Los empleados también tienen la oportunidad de participar en programas de incentivos y recibir una compensación vinculada al rendimiento empresarial e individual.

El salario real variará según las condiciones del mercado local, la geografía y factores relacionados con el puesto como conocimientos, habilidades, requerimientos, experiencia y educación/formación.

Si solicitas este puesto fuera de tu ubicación principal, por favor escríbenos a [email protected] para conocer el rango salarial correspondiente a tu ubicación.

Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar.

También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera.

Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria.

Si se está postulando para este puesto en los EE. UU., póngase en contacto con [email protected] para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process.

For more information, please refer to our personal information collection statement (https://careers.manulife.com/global/en/talentacquisitionprivacystatement) .

📌 Data Architect (Toronto)
🏢 Manulife
📍 Toronto