Solution Architect - Data

We are seeking an experienced Data Architect to lead the design, build, and governance of enterprise data platforms supporting Commercial & Corporate Banking, with a strong focus on AML, financial crime, and regulatory data. This role spans multiple APAC markets and requires a hands-on architect who can drive end-to-end delivery, from greenfield builds to operationalization. Key Responsibilities 1. Data Architecture & Platform Design - Architect and implement Data Lakehouse solutions on cloud platforms (AWS / Azure / GCP). - Design end-to-end data ecosystems covering ingestion, storage, modelling, analytics, and governance. - Define data standards, blueprints, and reference architectures across the organisation. - Ensure scalable, secure, and compliant data environments aligned to banking and AML requirements. 2. Engineering & Delivery - Lead ground-up platform builds, taking projects from concept to production. - Oversee data engineering streams, including pipelines, orchestration, quality, lineage, and metadata. - Support integration of AI/ML tools into the data platform. - Work across multiple project streams and client groups within a broader program. 3. Analytics & Consumption Layer - Partner with analytics teams to ensure data models support BI, reporting, AML monitoring, and regulatory use cases. - Understand end-to-end flows from source systems -> data lake house -> analytics. 4. Data Governance & Operating Model - Implement and maintain data governance frameworks, including stewardship, lineage, and quality controls. - Support ongoing client environment maintenance, architecture enhancements, and governance compliance. 5. Stakeholder Management - Communicate effectively with business, technology, and regional leadership. - Translate complex architecture into clear business outcomes. - Influence decision-making across cross-functional teams. 6. Regional Scope - Work across multiple APAC markets including Thailand, Korea, Japan, Myanmar, India, and the Philippines. - Understand regional variations in data, regulation, and infrastructure. 7. Broader Architecture & Integration - Contribute beyond data architecture into cloud architecture, integration patterns, and enterprise services. - Support the setup and operation of cloud environments, including IAM, networking, and security. Experience - 10+ years in data architecture, data engineering, or enterprise data roles. - Strong exposure to Commercial / Corporate Banking and AML/ Financial Crime data domains. - Proven track record delivering large-scale, multi-stream data programs. - Experience working in regional APAC environments. Technical Skills - Data Lakehouse architectures (Delta Lake, Iceberg, Hudi). - Cloud platforms: AWS, Azure, or GCP. - Data modelling (conceptual, logical, physical). - ETL/ELT tools, orchestration frameworks, streaming technologies. - Data governance, metadata management, lineage tools. - Understanding of AI/ML data integration. Soft Skills - Strong communication and stakeholder engagement. - Ability to operate in complex, multi-country environments. - Comfortable leading both engineering-heavy and governance-heavy workstreams. Why This Role Is Unique - Regional APAC ownership across six markets. - Mix of AML domain, cloud transformation, and green field data platform build. - Opportunity to shape the data strategy for a major banking client. - Broad architectural scope beyond data - cloud, integration, and enterprise services.