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

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 for Commercial & Corporate Banking with a strong AML focus. The role spans multiple APAC markets and requires hands-on delivery from greenfield builds to operations.

The Ideal candidate brings 10+ years in data architecture and banking data domains, with proven success delivering large-scale data programs across the APAC region.

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

• Architect and implement Data Lakehouse solutions on cloud platforms (AWS / Azure / GCP).
• Design end-to-end data ecosystems covering ingestion, storage, modelling, analytics, and governance.
• Define data standards, blueprints, and reference architectures across the organisation.
• Ensure scalable, secure, and compliant data environments aligned to banking and AML requirements.
• Lead ground-up platform builds and oversee data engineering streams (pipelines, orchestration, quality, lineage).
• Partner with analytics teams to support BI, reporting, AML monitoring, and regulatory use cases.

Skills

Data Lakehouse

Cloud platforms

Data modelling

ETL/ELT

Orchestration

Streaming technologies

Data governance

AI/ML data integration

Tools

Delta Lake

Iceberg

Hudi

Airflow

Kafka

IAM

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.

TechnicalSkills

• - 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.