Lead the architecture and strategic design of data solutions for Global Wealth & Asset Management (GWAM) Asia, owning the development of the end-to-end data architecture roadmap across ingestion, curation, common data models, data products, and consumption.
Responsibilities
Own the development and maintenance of the GWAM Asia data architecture roadmap, aligned with GWAM Asia priorities and enterprise technology strategy
Architect scalable end-to-end solutions across integration, ingestion, curation, storage, common data models, semantic layers, reporting, analytics, GenAI, and business-facing 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 and deliver trusted, reusable data products for Global Wealth & Asset Management (GWAM) Asia, guiding data engineers building end-to-end ETL/ELT pipelines.
Responsibilities
Provide technical leadership in designing, building, and optimising end-to-end batch (and near-real-time where required) ETL/ELT pipelines across the raw, curated, and semantic/data product layers (medallion architecture) on Azure
Establish robust pipeline engineering practices, including ingestion patterns, orchestration, incremental and CDC loads, schema evolution, integration with the Data Quality (DQ) Framework, error handling, and performance tuning
Partner with business stakeholders, analytics, and AI teams to define data products that align with business domains, use cases, and outcomes, and ensure they are discoverable, trusted, and well understood
Translate business requirements into well-defined data entities, relationships, and metrics; contribute to conceptual data models with the Lead Data Solution Architect; and design and maintain the logical and physical data models that underpin scalable, reusable data products
Engineer curated, analytics-ready data products optimised for BI, reporting, APIs, and semantic models (e.g., Power BI)
Requirements
Bachelor's degree in Computer Science, Information Systems, or a related field
Nice to have: Wealth management data domain knowledge
Nice to have: Metadata-driven ingestion frameworks
Nice to have: Data privacy and residency knowledge