Lead Data Architect – Financial Services

Department: Application Solutions & Engineering

Business Unit: Financial Services (FSI)

Role Title: Lead Data Architect

Location: Singapore

Reporting To: Head of Data & AI Engineering / Chief Architect, Application Solutions

1. Role Overview

The Lead Data Architect defines and governs the data architecture vision, standards, and

implementation patterns for mission-critical Financial Services platforms.

This role requires deep technical and regulatory expertise to design secure, scalable, and MAS

compliant data platforms that enable analytics, AI, and regulatory compliance.

2. Key Responsibilities

> Define and maintain enterprise data architecture blueprints for Core Banking, Payments,

Risk, and Compliance domains.

> Architect data lakes, data warehouses, and data mesh / data fabric architectures on cloud

native platforms (Azure / AWS / GCP).

> Design real-time data streaming architectures using Kafka, Flink, Debezium, and KSQL.

> Govern data models, metadata, lineage, and master data management (MDM).

> Establish and enforce data governance frameworks (Apache Atlas, Collibra, Purview)

integrated with data quality metrics.

> Define data zoning (bronze, silver, gold) and security layer separation aligned with MAS TRM

/ PDPA / PCI-DSS.

> Partner with platform and AI engineering teams to design AI-ready data architectures

including feature stores and vector databases.

> Lead data migration programs (on-prem to cloud) ensuring lineage, compliance, and

traceability.

> Provide architecture oversight for regulatory and liquidity data programs (MAS

610/649/1003, Basel III/IV, BCBS 239).

> Mentor data engineers, participate in architecture governance councils, and review designs

for scalability and compliance

.

3. Required Technical Skills

Category

Tools / Technologies

Architecture

Data Vault 2.0, Data Mesh, Data Fabric, Canonical Modelling

Cloud PlatformsAzure (Synapse, Data Lake, Purview), AWS (Glue, Redshift, Lake Formation), GCP

(BigQuery, Data Catalog)

Data ProcessingSpark, Databricks, Flink, Kafka Streams, Beam

Streaming & IntegrationKafka, Confluent, KSQL, Debezium, API-based ingestion

Governance & Quality Collibra, Purview, Apache Atlas, Great Expectations, Monte Carlo

SecurityRBAC, Encryption, KMS, Tokenization, Audit Trails

Regulatory Focus

MAS TRM, PDPA, Basel III/IV, IFRS 9/17, BCBS 239

4. Experience and Qualifications

> Minimum 12+ years of experience in data architecture and engineering, with 5+ years in

BFSI.

> Proven experience leading enterprise-scale data modernization programs across multi-cloud

environments.

> Strong expertise in data modelling, governance, and lineage frameworks.

> Hands-on experience in real-time event-driven architectures and AI/ML enablement.

> Excellent understanding of regulatory frameworks (MAS TRM, PDPA, BCBS 239).

> Bachelor's or Master's degree in Computer Science, Information Systems, or a related

discipline.

> Certifications preferred: Azure Solutions Architect Expert, AWS Data Analytics Specialty,

TOGAF Certified Architect.

5. Key Attributes

> Strong stakeholder management and communication skills (business + technical).

> Deep understanding of financial systems, data flows, and compliance requirements.

> Ability to balance architecture vision with hands-on technical leadership.

> Proven ability to mentor and build engineering teams aligned to organizational goals.