Database Architect

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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