3 days ago
Hong Kong (city not specified)Staff+
Responsibilities
- Own and maintain the GWAM Asia data architecture roadmap aligned with business priorities and enterprise technology strategy.
- Architect scalable end-to-end solutions spanning integration, ingestion, curation, storage, common data models, semantic layers, reporting, analytics, GenAI, and data products.
- Translate business objectives into target-state architectures, solution options, data requirements, integration patterns, and phased roadmaps.
- Lead design reviews, provide technical sign-off, and guide cross-functional delivery teams in Manila and Chengdu.
- Define standards for data pipelines, lakehouse design, APIs, DevSecOps, observability, security, resilience, and operational support.
- Design Unity Catalog and role-based access control models that enforce least-privilege access.
- Ensure data models align with the target architecture and comply with enterprise architecture, governance, cybersecurity, risk, audit, and performance standards.
- Maintain architecture artifacts and decision records, drive continuous improvement, and conduct proofs of concept for emerging technologies.
Requirements
- 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.
- Experience designing enterprise data lakes, lakehouse platforms, and scalable cloud data solutions with accountability for complex design decisions.
- Strong hands-on experience with Azure Databricks, Unity Catalog, Spark/PySpark, Python, SQL, Azure Data Factory, and Azure Data Lake Storage.
- Experience with batch and streaming pipelines, ETL/ELT, APIs, cloud integration, reporting, analytics, and data products.
- Experience designing multi-country data platforms under data residency and privacy constraints, including RBAC and least-privilege access models.
- Experience with DevSecOps, CI/CD, cloud security, data protection, monitoring, and operational resilience.
- Ability to lead design discussions, resolve complex issues, and influence senior business and technology stakeholders.
- Preferred experience in financial services, wealth management, insurance, or asset management across Asian markets.
- Preferred practical experience with Azure OpenAI and GenAI patterns including prompt engineering, RAG, vectorization, and similarity search.
- Preferred experience with Databricks SQL Warehouse, Microsoft Fabric/Power BI, and Azure Kubernetes Service.
- Knowledge of data governance, metadata, master and reference data, data quality, lineage, data contracts, and control frameworks.
- Preferred experience with data products, MLOps, event-driven patterns, Change Data Capture, or containerized architectures.
- Relevant Azure, Databricks, data architecture, GenAI, or Azure AI certifications are preferred.
- Excellent written and spoken English is required; spoken Mandarin is desirable.
Benefits
- Flexible working environment with a focus on learning, career growth, well-being, and inclusion.
- Hybrid working arrangement.
- Equal opportunity employer with reasonable accommodation support during the application process.
Tech Stack
Categories
Data Engineering
About Manulife
Manulife is a Toronto‑headquartered public financial services company that provides life and health insurance, retirement plans, and wealth and asset management to individuals and institutions. It earns premiums and fee income from insurance, investment, and advisory products delivered across Canada, Asia, and Europe, and operates as John Hancock in the United States. Founded in 1887, the company is listed on the Toronto Stock Exchange.