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 to ensure data models support Business Intelligence, reporting, AML monitoring, and regulatory use cases.
* Understand end-to-end flows from source systems to data lake-house to 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:
* 15+ 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.
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