Enterprise Data Architect

Reposted 16 Days Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Semiconductor
The Role
Lead enterprise data architecture for analytics and AI: define data products, contracts, lineage, semantic standards, and residency. Drive SAP BW evolution and next-gen platforms (lakehouse, Microsoft Fabric), prototype reference implementations, embed governance/security/compliance (GDPR, EU AI Act), and collaborate with AI and integration architects to enable trusted, AI-ready data products.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's degree in Computer Science, IT, Data, Engineering, or related field (or equivalent experience)
  • 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
  • Hands-on builder mindset with experience in prototyping and reference implementations (architecture-as-code)
  • Ability to shape enterprise data platform strategy and provide strong architectural judgment
  • Strong stakeholder management and ability to influence senior stakeholders
  • Ability to balance governance, security, and innovation; translate regulatory requirements into architectural controls
  • Good communication and written skills in English
  • AI-ready data architecture experience (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
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The Company
HQ: Nijmegen
3,887 Employees

What We Do

Headquartered in the Netherlands, Nexperia is a global semiconductor company with a rich European history and over 15,000 employees across Europe, Asia, and the United States. As a leading expert in the development and production of essential semiconductors, Nexperia’s components enable the basic functionality of virtually every electronic design in the world – from automotive and industrial to mobile and consumer applications. The company serves a global customer base, shipping more than 100 billion products annually. These products are recognized as benchmarks in efficiency – in process, size, power and performance. Nexperia's commitment to innovation, efficiency, sustainability, and stringent industry requirements are evident in its extensive IP portfolio, its expanding product range and its certification to IATF 16949, ISO 9001, ISO 14001 and ISO 45001 standards. For questions or more information about our career opportunities: [email protected] Connect with us today and become a part of TeamNexperia! Nexperia - Efficiency Wins.

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