Data Architect(ES)

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

Job summary

DYNAMIC HUMAN CAPITAL PTE. LTD. is seeking an experienced Data Architect to lead the design and delivery of enterprise data platforms for Commercial Banking, AML, and Financial Crime across APAC.

You will design cloud-based Data Lakehouse solutions (AWS/Azure/GCP), govern data, and drive end-to-end architectures from ingestion to analytics. The role requires 10+ years in data architecture with strong banking/AML experience and collaboration with regional stakeholders.

Qualifications

• 10+ years of experience in data architecture, data engineering or enterprise data.
• Strong Commercial Banking and AML/Financial Crime domain knowledge.
• Proven delivery of large-scale, multi-stream data programs.

Responsibilities

• Design and implement cloud-based Data Lakehouse solutions (AWS/Azure/GCP).
• Lead end-to-end data architecture including ingestion, modelling, analytics, governance, and security.
• Drive greenfield data platform builds from design through production.
• Oversee data pipelines, orchestration, quality, metadata and lineage.
• Support AML monitoring, regulatory reporting, BI, and AI/ML use cases.
• Establish data governance, standards, and operating models.

Skills

Data architecture

Data engineering

Cloud platforms

AML knowledge

Stakeholder mgmt

Communication

Education

Bachelor's degree in a relevant field

Tools

ETL/ELT tooling

Data governance tools

Job description

Data Architect - Commercial Banking / AML (APAC)

We are seeking an experienced Data Architect tolead the design and delivery of enterprise data platforms for Commercial/CorporateBanking, AML, and Financial Crime across APAC.

Key Responsibilities

• Design and implement cloud-based Data Lakehouse solutions (AWS/Azure/GCP).


• Lead end-to-end data architecture, including ingestion, modelling, analytics, governance, and security.


• Drive greenfield data platform builds from design through production.


• Oversee data engineering, pipelines, orchestration, quality, metadata, and lineage.


• Support AML monitoring, regulatory reporting, BI, and AI/ML use cases.


• Establish data governance, standards, and operating models.


• Work with business, technology, and regional stakeholders across APAC.


• Contribute to cloud, integration, IAM, networking, and security architecture.


• Regional exposure across Thailand, Korea, Japan, Myanmar, India, and the Philippines; limited travel required.

Ideal Candidate

• 10+ years in data architecture, data engineering, or enterprise data.


• Strong Commercial/Corporate Banking and AML/Financial Crime experience.


• Proven experience delivering large-scale, multi-stream data programs.


• Strong knowledge of Data Lakehouse technologies, cloud platforms, data modelling, ETL/ELT, streaming, and data governance.


• Excellent communication and stakeholder management skills.

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