Data Architect (Commercial Banking / AML) - APAC -EPL

DYNAMIC HUMAN CAPITAL PTE. LTD.; Singapore; On-site; SGD 42,000 - 51,000; Full time

Job summary

DYNAMIC HUMAN CAPITAL PTE. LTD. seeks 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.

The role spans multiple APAC markets and requires a hands-on architect who can drive end-to-end delivery from greenfield builds to production. You will design data lakehouse architectures on cloud platforms, oversee data pipelines and metadata, and

Qualifications

• 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.

Responsibilities

• Design and implement Data Lakehouse solutions on cloud platforms.
• Lead end-to-end data platform delivery from greenfield to production.
• Oversee data engineering pipelines, orchestration, quality, lineage.
• Support integration of AI/ML tools into the data platform.
• Ensure data governance, security, and regulatory compliance.
• Collaborate with analytics for AML monitoring and BI.
• Travel quarterly or less across APAC.

Skills

Data Lakehouse

Cloud platforms

Data modelling

ETL/ELT tools

Data governance

AI/ML data integration

Tools

Delta Lake

Iceberg

Hudi

Job description

Overview

We are seeking an experienced Data Architect tolead the design, build, and governance ofenterprise data platforms supportingCommercial & Corporate Banking, with a strong focus on AML,financial crime,and regulatory data. This role spans multiple APAC markets and requiresahands-on architect who can drive end-to-end delivery, from greenfield buildsto operationalisation.

Key Responsibilities

1. Data Architecture & Platform Design

• Architect and implement Data Lakehouse solutions on cloudplatforms (AWS / Azure / GCP).
• Design end-to-end data ecosystems covering ingestion,storage, modelling, analytics, andgovernance.
• Define data standards, blueprints, and referencearchitectures across the organisation.
• Ensure scalable, secure, and compliant data environmentsaligned to banking and AMLrequirements.

2. Engineering & Delivery

• Lead ground-up platform builds, taking projects fromconcept 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 groupswithin a broader program.

3. Analytics & Consumption Layer

• Partner with analytics teams to ensure data models supportBI, reporting, AML monitoring, andregulatory use cases.
• Understand end-to-end flows from source systems -> datalakehouse -> 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, andregional leadership.
• Translate complex architecture into clear businessoutcomes.- 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, andinfrastructure.
• Travel required once per quarter or less.

7. Broader Architecture & Integration

• Contribute beyond data architecture into cloudarchitecture, integration patterns, and enterpriseservices.
• Support the setup and operation of cloud environments,including IAM, networking, and security.

Ideal Candidate Profile

Experience

• 10+ years in data architecture, data engineering, orenterprise data roles.- Strong exposure to Commercial / Corporate Banking andAML / Financial Crime data domains.
• Proven track record delivering large-scale, multi-streamdata 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, streamingtechnologies.
• 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 greenfielddata platform build.
• Opportunity to shape the data strategy for a major bankingclient.
• Broad architectural scope beyond data
• cloud, integration, and enterprise services.

Fixed monthly salary of $3,300 and above.