Data Architect

Catalyst24; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Catalyst24 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 in APAC markets. You will drive end-to-end delivery across greenfield builds and existing environments, shaping the data strategy for a major client.

The role requires hands-on expertise in data lakehouse architectures, cloud platforms, and governance, and will involve collaboration with regional stakeholders across

Qualifications

• 10+ years in data architecture, data engineering, or related roles.
• Strong hands-on experience with AML/financial crime data in banking.
• Proven track record delivering data platforms across APAC.
• Expertise in designing cloud-native data lakehouse architectures and governance.

Responsibilities

• Architect and implement Data Lakehouse solutions on cloud platforms (AWS/Azure/GCP).
• Lead end-to-end data platform deliveries from greenfield to production.
• Oversee data pipelines, orchestration, data quality, lineage and metadata.
• Coordinate AI/ML data integration within the data platform.
• Ensure compliance with AML regulations and data governance standards.
• Engage with regional leadership to translate architecture into business outcomes.

Skills

Data Architecture

Data Engineering

AML / Financial Crime

APAC Region Experience

Cloud Platforms

Data Lakehouse

Data Governance

Stakeholder Management

Tools

Delta Lake

Iceberg

Hudi

Airflow

ETL/ELT

Metadata Tools

Job description

We are hiring for one of our reputed MNC clients for a role in Singapore.

About Our Client

Our client is a global technology consulting and digital transformation organization with a strong presence across multiple countries and a workforce of over 16,500 professionals.

The organization partners with leading businesses to drive innovation and digital transformation through expertise in AI, cloud, cybersecurity, data engineering, and other emerging technologies.

With a strong global delivery network and deep industry expertise, our client provides scalable, cost-effective technology solutions tailored to local and international markets. The organization also works closely with leading technology platforms and strategic partners to help businesses accelerate innovation and achieve sustainable growth.

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

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, 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.
2. Engineering & Delivery- Lead ground-up platform builds, taking projects from concept to production.- Oversee data engineering streams, including pipelines, orchestration, quality, lineage, and metadata.- 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, and regulatory 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 quality controls.- Support ongoing client environment maintenance, architecture enhancements, and governance compliance.
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 the Philippines.- 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 enterprise services.- Support the setup and operation of cloud environments, including IAM,networking, and security.

Ideal Candidate Profile

Experience- 10+ years in data architecture, data engineering, or enterprise data roles.-

Strong exposure to Commercial / Corporate Banking and AML / Financial Crime data

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

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.