Data Architect (Commercial Banking / AML) EPL

DYNAMIC HUMAN CAPITAL PTE. LTD.; Singapore; On-site; SGD 34,000 - 40,000; Full time

Job summary

DYNAMIC HUMAN CAPITAL PTE. LTD. in Singapore seeks an experienced Data Architect to lead the design, build, and governance of enterprise data platforms for Commercial & Corporate Banking, with a strong focus on AML and regulatory data. This hands-on architect will drive end-to-end delivery across APAC markets.

The role covers data lakehouse design, cloud platforms (AWS/Azure/GCP), governance, and integration of AI/ML data workflows, with travel quarterly.

Qualifications

• 10+ years in data architecture or enterprise data roles.
• Strong experience with Data Lakehouse concepts and cloud platforms.
• Proven ability to operate across multiple APAC markets and manage stakeholders.

Responsibilities

• Lead end-to-end data platform delivery from greenfield to production across APAC markets.
• Oversee data governance, lineage, quality controls, and security.
• Partner with analytics teams to support BI, AML monitoring, and regulatory use cases.

Skills

Data architecture

Cloud platforms

AML data domain

Stakeholder management

Data governance

Tools

Delta Lake

Iceberg

Hudi

ETL/ELT

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.