Overview
We are seeking an experienced Enterprise 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
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.
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.
Analytics & Consumption Layer
- Partner with analytics ensure data models support Business Intelligence, reporting, AML monitoring, and regulatory use cases.
- Understand end-to-end flows from source systems - data lake-house - analytics.
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.
Stakeholder Management
- Communicate effectively with business, technology, and regional leadership.
- Translate complex architecture into clear business outcomes.
- Influence decision-making across cross-functional teams.
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.
Broader Architecture & Integration
- Contribute beyond data architecture into software, cloud architecture, integration patterns, and enterprise services.
- Support the setup and operation of cloud environments.
Ideal Candidate Profile:
- 10+ years in data architecture, data engineering, or enterprise data roles.
- Strong exposure to Banking and Financial Services industries
- Ideally some experience with the 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.
- Comfortable with broader enterprise software, API integration and enterprise architecture concepts.
- Comfortable with some AI tooling.
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 software services.
APPLY NOW and let's have a call to discuss further!
Adam Davies
Partner
Technology recruitment & search
Menrva Group, Singapore
Company EA License 19S9808
Company Registration 201900823K
Registered Agent R1326604
