Senior Data Architect

The Senior Data Architect is responsible for defining and leading the segment data architecture strategy that enables trusted, scalable, secure, and AI-ready data capabilities across the organization. This role provides architectural leadership for architecture, design, governance, modernization, and implementation of data solutions and platforms that support analytics, reporting, machine learning, and AI-driven solutions, while remaining actively engaged in hands‑on solution design, data platform engineering, and implementation activities where deep technical expertise is required. Partner with business and technology stakeholders, architects and engineers to define data requirements, data domains, data consumption patterns, and architect scalable and secure data solutions that support business outcomes.

Office location: Toronto - Canada (primary) or Boston - USA

Work arrangement: Hybrid - 3 days in office, 2 days from Home; Remote working option is not available.

Position Responsibilities

• Define and evolve the segment data architecture vision, standards, principles, and roadmap.
• Design scalable Data Lake, Data Warehouse, and Lakehouse architectures supporting 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 the design and implementation of data pipelines, integration frameworks, and cloud-native data platforms.
• Provide hands‑on technical leadership for complex data engineering initiatives, including 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 use of data.
• Design AI‑ready data architectures supporting 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.

Required Qualifications:

• 10+ years of experience architecting, designing, and delivering large‑scale data solutions.
• Hands‑on experience with one or more 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 and proficiency in SQL plus 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 (MDM), Reference Data Management, Data Governance, Data Lineage, and Data Quality
• Proven experience leading cloud‑based data platform implementations and modernization initiatives.
• Demonstrated ability to lead architecture strategy while contributing to the 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.

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, highly regulated organization, preferably in 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 DataOps, CI/CD, automation, performance optimization, monitoring, and operational resilience for data platforms.
• Education: 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.

The role being advertised is an existing vacancy.

Referenced Salary Location

CAN, Ontario, Toronto, 200 Bloor Street East

Working Arrangement

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 CAD

The Senior Data Architect is responsible for defining and leading the segment data architecture strategy that enables trusted, scalable, secure, and AI-ready data capabilities across the organization. This role provides architectural leadership for architecture, design, governance, modernization, and implementation of data solutions and platforms that support analytics, reporting, machine learning, and AI‑driven solutions, while remaining actively engaged in hands‑on solution design, data platform engineering, and implementation activities where deep technical expertise is required. Partner with business and technology stakeholders, architects and engineers to define data requirements, data domains, data consumption patterns, and architect scalable and secure data solutions that support business outcomes.

Office location: Toronto - Canada (primary) or Boston - USA

Work arrangement: Hybrid - 3 days in office, 2 days from Home; Remote working option is not available.

Position Responsibilities

• Define and evolve the segment data architecture vision, standards, principles, and roadmap.
• Design scalable Data Lake, Data Warehouse, and Lakehouse architectures supporting 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 the design and implementation of data pipelines, integration frameworks, and cloud‑native data platforms.
• Provide hands‑on technical leadership for complex data engineering initiatives, including 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 use of data.
• Design AI‑ready data architectures supporting 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.

Required Qualifications:

• 10+ years of experience architecting, designing, and delivering large‑scale data solutions.
• Hands‑on experience with one or more 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 and proficiency in SQL plus 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 (MDM), Reference Data Management, Data Governance, Data Lineage, and Data Quality
• Proven experience leading cloud‑based data platform implementations and modernization initiatives.
• Demonstrated ability to lead architecture strategy while contributing to the 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.

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, highly regulated organization, preferably in 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 DataOps, CI/CD, automation, performance optimization, monitoring, and operational resilience for data platforms.

• Education: 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.

The role being advertised is an existing vacancy.

Referenced Salary Location

CAN, Ontario, Toronto, 200 Bloor Street East

Working Arrangement

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 CAD

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マニュライフは機会均等を是とする雇用主です

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

雇用への平等なアクセスを提供するために、障壁を取り除くことが当社の優先事項です。人事担当者は、応募者が応募プロセス中に合理的配慮を要求する場合に協力します。配慮要求のプロセス中に共有されるすべての情報は、適用される法律およびマニュライフ/ジョン・ハンコックのポリシーに準拠した方法で保存および使用されます。申請プロセスにおいて合理的配慮を要求するには、 までご連絡をお願いします。

Referenced Salary Location

CAN, Ontario, Toronto, 200 Bloor Street East

Working Arrangement

ハイブリッド勤務

Salary range is expected to be between

$113,000.00 CAD - $163,000.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job‑related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short‑and‑long‑term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions.

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.

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