Data Architect (Commercial Banking / AML)

DYNAMIC HUMAN CAPITAL PTE. LTD.; Singapore; On-site; SGD 34,000 - 40,000; 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 for Commercial & Corporate Banking with a strong AML data focus. The role spans APAC markets and requires a hands-on architect driving end-to-end delivery from greenfield builds to operationalisation.

The ideal candidate brings 10+ years in data architecture or related roles, deep expertise in data lakehouse architectures, cloud platforms, and data governance,

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).
• Oversee data engineering streams: pipelines, orchestration, quality, lineage, and metadata.
• Support integration of AI/ML tools into the data platform.
• Partner with analytics to ensure data models support BI, AML monitoring, and regulatory use cases.
• Implement data governance, stewardship, and quality controls.
• Travel across APAC markets and coordinate across multiple project streams.

Skills

Data Lakehouse

Cloud platforms

Data modelling

ETL/ELT

Orchestration

Streaming

Data governance

Data lineage

AI/ML data integration

Tools

Delta Lake

Iceberg

Hudi

AWS

Azure

GCP

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 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.

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Latha M

Senior Researcher

Dynamic Human Capital Pte Ltd,

2 Kallang Avenue #03-08 CT HubSingapore 339407

EA License No: 12C6253 |RegistrationNo: R1987570