Data Architect (Commercial Banking / AML)

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.

[email protected]

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