Principal Engineer, Data, BIA & AI - Data Architect

Job description

Step into a career with ASM, where cutting edge technology meets collaborative culture. ​ For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more than 4,500 ASMers representing 70 nationalities, our people and our advanced semiconductor devices are playing a crucial role in trends such as 5G, cloud computing, AI, and autonomous driving. But we’re more than just a tech company. We value diversity, inclusion and sustainability as we strive to make a positive impact on the world. Our development programs help support your growth, shaping your future and pushing the boundaries of innovation to unleash potential. Job's mission In support of ASM’s growth ambition and digital transformation strategy, there is a need to further improve and leverage data as a foundation for business value, operational scalability, analytics, process intelligence, automation and Artificial Intelligence. Across new product introductions, to manufacturing, to services and spares, the Data Architect links business operations, data platforms and technologies through a clear data architecture. The Data Architect will be part of ASM’s Global Digital Transformation organization, within the Data & AI Intelligence capability. The architect will translate business priorities into scalable data architecture, and practical data solutions required to support ASM’s next phase of growth. In short, the architect will own the enterprise data architecture. The Data Architect has a healthy degree of business acumen and is driven to understand how ASM operates. ASM is growing fast, and we are searching for a Data Architect who can help us to scale up and enable business outcomes. What you will be working on Own ASM’s Data Architecture Define and govern ASM's Enterprise Data Architecture Framework, including reference architecture, standards, guardrails and reusable playbooks. Define how key platforms such as Databricks, SAP, Teamcenter, Salesforce and Celonis fit together in ASM’s target data architecture. Drive architectural consistency, reuse and simplification across all data platforms and business domains. Identify and reduce data architecture debt, duplicate capabilities, inconsistent data models and unnecess