Data Architect (Commercial Banking / AML) APAC Markets

Key Requirements

Role Overview
- Lead the design, implementation, and governance of enterprise data platforms.
- Support Commercial & Corporate Banking domains with a focus on AML, Financial Crime, and Regulatory Data.
- Drive end-to-end delivery from platform strategy and architecture to production and operationalization.
- Work across multiple APAC markets and stakeholder groups.

Data Architecture & Platform Design
- Architect and implement Data Lakehouse solutions on AWS, Azure, or GCP.
- Design end-to-end data ecosystems covering:
- Data ingestion
- Data storage
- Data modeling
- Analytics & reporting
- Data governance
- Define enterprise data standards, reference architectures, and best practices.
- Ensure scalable, secure, and regulatory-compliant data platforms.

Engineering & Delivery
- Lead greenfield data platform builds from concept to production.
- Oversee data engineering functions including:
- ETL/ELT pipelines
- Workflow orchestration
- Data quality controls
- Data lineage
- Metadata management




- Support AI/ML integration within enterprise data platforms.
- Manage multiple projects and workstreams simultaneously.

Analytics & Reporting
- Collaborate with analytics and business teams.
- Enable AML monitoring, regulatory reporting, BI, and advanced analytics use cases.
- Understand complete data flow from source systems to data lakehouse and analytics layers.
- Design data models optimized for reporting and compliance requirements.

Data Governance
- Implement enterprise data governance frameworks.
- Establish and maintain:
- Data stewardship
- Data lineage
- Data quality management
- Metadata governance
- Ensure compliance with banking and regulatory standards.
- Support ongoing platform enhancements and governance initiatives.

Stakeholder Management
- Engage with business, technology, and executive leadership teams.
- Translate technical architecture into business value and outcomes.
- Influen

📌 Data Architect (Bengaluru)
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