Data Architect - Domain & Modeling (Hybrid)

Manulife Financial; Makati; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Manulife Financial is seeking an Intermediate Data Architect in Manila to own end-to-end data architecture within assigned domains. The role focuses on data modeling, design, governance, and alignment with enterprise standards.

You will work with data engineers, product owners, and analytics teams to ensure scalable and reusable data models. Ideal candidates will have strong data modeling skills, experience with data integration, and familiarity with Azure data services (Data Factory,

Qualifications

• Strong ability to design, evaluate, and govern data models and data flows.
• Experience owning data models for medium to large-scale systems.
• Knowledge of data integration patterns and data flow design.

Responsibilities

• Own end-to-end data architecture for assigned domains, aligned with standards.
• Design conceptual, logical, and physical data models that are scalable and reusable.
• Translate business requirements into architecture-aligned data designs with balance of short- and long-term needs.
• Define and govern data flows, integration patterns, and data structures for applications and analytics.
• Ensure adherence to enterprise data architecture standards and modeling practices.
• Act as a data architecture steward ensuring consistency across systems and projects.
• Review and approve data models and designs produced by team members.
• Contribute to evolution of data architecture strategy, especially in modeling and domain design.

Skills

Data modeling

Data architecture

Governance

Analytical thinking

Communication

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake/Storage

Azure Synapse

Power BI

Job description

Manulife Financial is seeking an Intermediate Data Architect in Manila to own end-to-end data architecture within assigned domains. The role focuses on data modeling, design, governance, and alignment with enterprise standards.

You will work with data engineers, product owners, and analytics teams to ensure scalable and reusable data models. Ideal candidates will have strong data modeling skills, experience with data integration, and familiarity with Azure data services (Data Factory,