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.