Data Architect (Commercial Banking / AML) SA

DYNAMIC HUMAN CAPITAL PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DYNAMIC HUMAN CAPITAL PTE. LTD. is seeking an experienced Data Architect to lead the design, build, and governance of enterprise data platforms across APAC banking clients, with a strong focus on AML, financial crime, and regulatory data.

You will drive end-to-end delivery from greenfield builds to production, across multiple markets. The role requires hands-on architecture, data lakehouse design on AWS/Azure/GCP, and collaboration across analytics, governance, and engineering teams to enable

Qualifications

• 10+ years in data architecture or related roles.
• Strong exposure to banking data domains and AML data.
• Experience delivering multi-stream data programs.

Responsibilities

• Lead design and governance of enterprise data platforms.
• Architect end-to-end data ecosystems including ingestion, storage, and analytics.
• Drive data standards, blueprints, and reference architectures across regions.
• Oversee data engineering streams, pipelines, and metadata management.
• Collaborate with analytics teams to support BI, AML monitoring, and regulatory use cases.

Skills

Data Lakehouse

Cloud platforms

Data modelling

Stakeholder management

Tools

Delta Lake

Iceberg

Hudi

Job description

Overview: 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, 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, 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.