Enterprise Data Architect - Banking

OverviewWe 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 ResponsibilitiesData Architecture & Platform DesignArchitect 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 & DeliveryLead 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 LayerPartner 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 ModelImplement and maintain data governance frameworks, including stewardship, lineage, and quality controls.Support ongoing client environment maintenance, architecture enhancements, and governance compliance.Stakeholder ManagementCommunicate effectively with business, technology, and regional leadership.Translate complex architecture into clear business outcomes.Influence decision-making across cross-functional teams.Regional ScopeWork 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 & IntegrationContribute 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 industriesIdeally 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 SkillsData 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 DaviesPartnerTechnology 'recruitment & search'Menrva Group, SingaporeCompany EA License 19S9808Company Registration 201900823KRegistered Agent R1326604