Editorial summary

The company is seeking an experienced Data Architect specializing in Commercial Banking and AML to lead the design, build, and governance of enterprise data platforms across multiple APAC markets. The role involves architecting data lakehouse solutions on cloud platforms such as AWS, Azure, or GCP, and managing end-to-end data ecosystem development, including ingestion, storage, and operationalization. Key requirements include hands-on experience in data architecture, cloud platforms, and enterprise data management. The position offers a salary of 16,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 31099 first appeared in Job-Q.com on 10 Sep 2026]

Overview: We are seeking an experienced Data Architect to lead the design, build, and governance ofenterprise 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 ahands-on architect who can drive end-to-end delivery, from greenfield builds to operationalisation.

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, andgovernance.

- Define data standards, blueprints, and reference architectures across the organisation.- Ensure scalable, secure, and compliant data environments aligned to banking and AMLrequirements.

2. Engineering & Delivery- Lead ground-up platform builds, taking projects from concept to production.

- Oversee data engineering streams, including pipelines, orchestration, quality, lineage, andmetadata.

- 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, andregulatory use cases.

- Understand end-to-end flows from source systems -> data lakehouse -> analytics.

4. Data Governance & Operating Model- Implement and maintain data governance frameworks, including stewardship, lineage, and qualitycontrols.

- Support ongoing client environment maintenance, architecture enhancements, and governancecompliance.

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 thePhilippines.

- Understand regional variations in data, regulation, and infrastructure.

- Travel required once per quarter or less.

7. Broader Architecture & Integration

- Contribute beyond data architecture into cloud architecture, integration patterns, and enterpriseservices.

- Support the setup and operation of cloud environments, including IAM, networking, and security.Ideal Candidate ProfileExperience

- 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 greenfield data platform build.

- Opportunity to shape the data strategy for a major banking client.

- Broad architectural scope beyond data

- cloud, integration, and enterprise services.
If you would like to know more aboutthis role, do drop me a message or you can alternatively drop me an emailstated below.

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Senior Researcher

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