Enterprise Data Architect

nexperia; Bengaluru; Hybrid; INR 11,628,000 - 17,442,000; Full time

Job summary

Nexperia is seeking an Enterprise Data Architect to design and govern our enterprise data foundations for analytics and AI. You will define data contracts, lineage, and semantic standards, while shaping platform decisions including SAP BW.

Based in Kuala Lumpur with hybrid flexibility, the role collaborates with data engineers to deliver reference architectures and AI-ready data products. This senior hands-on position requires experience in data products, data contracts, data mesh, and

Qualifications

• Bachelor's degree in Computer Science, IT, Data, Engineering, or related field, with strong experience in enterprise IT and data architecture (or equivalent experience)
• Good communication and written skills in English, additional languages are an advantage
• Proven experience designing enterprise-scale data architectures in complex global environments
• Strong knowledge of modern data foundations: data products, data contracts, MDM, semantic layers, lineage, and integration
• Experience with SAP BW (BW on HANA, BW/4HANA) and modern platforms such as lakehouse, Microsoft Fabric, and data mesh
• Ability to shape enterprise data platform strategy with strong architectural judgment
• Hands-on builder mindset with experience in prototyping and reference implementations
• Strong stakeholder management and ability to influence senior stakeholders through clear reasoning and trade-offs
• Ability to balance governance, security, and innovation in scalable data architectures

Responsibilities

• 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, sovereignty, classification, retention, and secure access (IAM-aligned models)
• Translate regulatory requirements (GDPR, EU AI Act, etc.) into reusable architectural controls
• Act as a key architectural voice within the Data Center of Enablement, supporting governance, standards, and exception handling
• Enable AI and Integration Architecture
• Collaborate with AI and Integration Architects to ensure governed data products support enterprise AI platforms
• Define AI-ready data contracts, grounded retrieval patterns, lineage-aware evaluation, and observability frameworks
• Enable trusted AI outcomes through strong data foundations and governance

Skills

Data architecture

Stakeholder management

Prototype development

Architecture governance

Education

Bachelor's degree in Computer Science/IT/Data/Engineering

Job description

About the Role

Nexperia's 2026-2030 AI vision depends on strong 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, sovereignty, classification, retention, and secure access (IAM-aligned models)
• Translate regulatory requirements (GDPR, EU AI Act, etc.) into reusable architectural controls
• Act as a key architectural voice within the Data Center of Enablement, supporting governance, standards, and exception handling
• Enable AI and Integration Architecture
• Collaborate with AI and Integration Architects to ensure governed data products support enterprise AI platforms
• Define AI-ready data contracts, grounded retrieval patterns, lineage-aware evaluation, and observability frameworks
• Enable trusted AI outcomes through strong data foundations and governance

What You Will Need

• Bachelor's degree in Computer Science, IT, Data, Engineering, or related field, with strong experience in enterprise IT and data architecture (or equivalent experience)
• Good communication and written skills in English, additional languages are an advantage
• Proven experience designing enterprise-scale data architectures in complex global environments
• Strong knowledge of modern data foundations: data products, data contracts, MDM, semantic layers, lineage, and integration
• Experience with SAP BW (BW on HANA, BW/4HANA) and modern platforms such as lakehouse, Microsoft Fabric, and data mesh
• Ability to shape enterprise data platform strategy with strong architectural judgment
• Hands-on builder mindset with experience in prototyping and reference implementations
• Strong stakeholder management and ability to influence senior stakeholders through clear reasoning and trade-offs
• Ability to balance governance, security, and innovation in scalable data architectures

Nice to have

• AI-ready data architecture experience (e.g. retrieval, observability, evaluation)
• Hybrid cloud and on-premise experience, including sovereign cloud
• Manufacturing or semiconductor industry exposure
• Architecture certifications (TOGAF, IASA, DAMA-CDMP) or ArchiMate familiarity

Talent acquisition based on Nexperia vacancies is not appreciated. Nexperia job adverts are Nexperia copyright material and the word Nexperia is a registered trademark.

D&I Statement

As an equal-opportunity employer, Nexperia values diversity not just because it is the right thing to do but because diverse teams perform better. We are dedicated to being inclusive, and a proof point of this dedication is that we were the main partner of the very first Dutch Paralympic Team NL House during the Paris 2024 Paralympic Games. Our recruitment process is inclusive and accessible to all, and we consider all applicants fairly, as well as providing a safe work environment and reasonable adjustments where requested.

In addition, we offer our colleagues the possibility to join employee resource groups such as the Pride Network Group or global and local Women's groups. Nexperia is committed to increasing women in management positions to 30% by 2030.