Working Arrangement HybridRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Own the GWAM Asia data architecture roadmap and its maintenance
Architect end-to-end data solutions from ingestion through to data products
Lead design reviews and give technical sign-off
Design Unity Catalog and RBAC models with least-privilege access
Define standards for pipelines, lakehouse design, security and observability
Own the development and maintenance of the GWAM Asia data architecture roadmap
Architect scalable end-to-end solutions across integration, ingestion, curation, storage, common data models, semantic layers, reporting, analytics, GenAI, and business-facing data products.
Lead design reviews, provide technical sign-off, and guide cross-functional delivery teams in Manila and Chengdu.
design Unity Catalog and role-based access control (RBAC) models that enforce least-privilege access
Define standards for data pipelines, lakehouse design, APIs, DevSecOps, observability, security, resilience, and operational support.
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline.
10+ years of experience in data architecture, solution architecture, data engineering, or enterprise data platforms, including designing enterprise data lakes, lakehouse platforms, and scalable cloud data solutions with accountability for complex design decisions.
Experience with batch and streaming pipelines, ETL/ELT, APIs and cloud integration, reporting, analytics, and data products.
Experience designing multi-country data platforms under data residency and privacy constraints, including RBAC models and least-privilege access across data products.
Experience with DevSecOps, CI/CD, cloud security, data protection, monitoring, and operational resilience.
Proven ability to lead design discussions, resolve complex issues, and influence senior business and technology stakeholders, with strong communication and prioritisation skills in a fast-changing environment.
Experience in financial services, wealth management, insurance, or asset management across Asia markets.
Practical experience with Azure OpenAI and GenAI patterns, including prompt engineering, retrieval-augmented generation (RAG), vectorisation, and similarity search.
Experience with Databricks SQL Warehouse, Microsoft Fabric/Power BI, and Azure Kubernetes Service (AKS).
Knowledge of data governance, metadata, master and reference data, data quality, lineage, data contracts, and control frameworks.
We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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- 10+ years of experience in data architecture, solution architecture, data engineering, or enterprise data platforms, including designing enterprise data lakes, lakehouse platforms, and scalable cloud data solutions with accountability for complex design decisions. - Strong hands-on experience with Azure Databricks (including Unity Catalog), Spark/PySpark, Python, SQL, Azure Data Factory, and Azure Data Lake Storage. - Experience with batch and streaming pipelines, ETL/ELT, APIs and cloud integration, reporting, analytics, and data products.
You will shape a multi-market target-state data platform across Asia, design governed data sharing between country, regional, and global layers, and help bring GenAI into production. You will guide cross-functional delivery teams in Manila and Chengdu and collaborate with business and technology stakeholders across Asia and North America to deliver data, reporting, analytics, and GenAI solutions. The platform is built on a Databricks Lakehouse and Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Databricks SQL Warehouse, and Microsoft Fabric/Power BI. Excellent written and spoken English is required; spoken Mandarin is desirable. Position Responsibilities:
- Practical experience with Azure OpenAI and GenAI patterns, including prompt engineering, retrieval-augmented generation (RAG), vectorisation, and similarity search. - Experience with Databricks SQL Warehouse, Microsoft Fabric/Power BI, and Azure Kubernetes Service (AKS). - Knowledge of data governance, metadata, master and reference data, data quality, lineage, data contracts, and control frameworks.
- Experience in financial services, wealth management, insurance, or asset management across Asia markets. - Practical experience with Azure OpenAI and GenAI patterns, including prompt engineering, retrieval-augmented generation (RAG), vectorisation, and similarity search. - Experience with Databricks SQL Warehouse, Microsoft Fabric/Power BI, and Azure Kubernetes Service (AKS).
- Experience with data products, MLOps, event-driven patterns, Change Data Capture, or containerised architectures. - Relevant Azure, Databricks, data architecture, GenAI, or Azure AI certifications. When you join our team:
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
At Manulife, we're on a mission to transform technology into a strategic asset that accelerates value.
We are seeking an experienced Lead Data Solution Architect to lead the architecture and strategic design of data solutions for Global Wealth & Asset Management (GWAM) Asia. This is a hands-on, player-coach individual contributor role: you will own the development of the end-to-end data architecture roadmap across ingestion, curation, common data models, data products, and consumption, while personally designing solutions, building reference implementations, and reviewing code.
You will shape a multi-market target-state data platform across Asia, design governed data sharing between country, regional, and global layers, and help bring GenAI into production. You will guide cross-functional delivery teams in Manila and Chengdu and collaborate with business and technology stakeholders across Asia and North America to deliver data, reporting, analytics, and GenAI solutions.
The platform is built on a Databricks Lakehouse and Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Databricks SQL Warehouse, and Microsoft Fabric/Power BI. Excellent written and spoken English is required; spoken Mandarin is desirable.
Position Responsibilities:
Required Qualifications:
Preferred Qualifications:
When you join our team:
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.
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