About the Role

Nexperia’s 2026–2030 AI vision depends on robust data foundations designed as a
product portfolio to enable scalable and responsible AI. This role owns the
architecture of those foundations.

As an Enterprise Data Architect – you will define how enterprise data is
designed, governed, and consumed across analytics and AI, including data
products, data contracts, lineage, and semantic standards. You will also shape
key platform decisions, including SAP BW (BW on HANA, BW/4HANA) and the
next-generation enterprise data platform.

This is a hands-on senior role where you will design solutions, build
prototypes, and work directly with data engineers to deliver reference
architectures. Based in Kuala Lumpur with hybrid flexibility, you will operate
close to data producers and consumers while defining global standards.

What You Will Do
Define and Own the Enterprise Data Architecture
Own the enterprise data target architecture, including data product
portfolio, master data, semantic layer, lineage, data quality SLAs, and
residency principles




Define standards for data products and data contracts, including ownership,
lifecycle, consumers, and measurable quality
Apply data mesh principles where appropriate to enable scalable and federated
data ownership
Establish end-to-end lineage and semantic consistency to support trusted
analytics and AI
Prototype key architectural patterns and contribute through
architecture-as-code and reference implementations
Shape the Data Platform Strategy
Provide architectural direction for SAP BW evolution (BW on HANA, BW/4HANA)
and next-generation platforms (lakehouse, Microsoft Fabric, data mesh
patterns)
Define hybrid and on-premise integration patterns, ensuring portability and
exit strategies
Design how enterprise data, telemetry, and business knowledge are exposed as
consumable data products for analytics and AI
Embed Governance, Security, and Compliance
Design for data residency, sovereign

📌 Enterprise Data Architect Bengaluru
🏢 Nexperia
📍 Bengaluru