Principal Engineer, Data, BIA & AI - Data Architect

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.  

• Minimum Degree in data science, information technology, computer science, mathematics, engineering, business administration, or a related field. 
•  Relevant certifications in Databricks, data architecture, enterprise architecture, data management, AI/ML platforms, data governance, or Agile 
• Minimum 7 years of data architecture and solutioning experience.  
• Strong hands-on experience in multiple competency areas related to data and analytics, such as data products, lakehouse architecture, data engineering, business intelligence, semantic models, data governance, and data quality. 
• Strong understanding of data engineering concepts and technologies, including SQL, Python, Spark-based processing, orchestration and metadata-driven engineering 
• Strong understanding of data governance, metadata management, cataloging, lineage, data contracts, data quality, classification, access control, retention, auditability, and responsible AI principles. 
• Ability to work with complex and diverse data sources, including structured, semi-structured, unstructured, streaming, sensor, equipment, and operational data. 
• Experience in Databricks and cloud platforms (e.g. AWS/Azure/Google Cloud). 
• A drive to understand our business operations and commercial products. 
• Action-oriented mindset, with the ability to move quickly while maintaining architecture discipline and governance. 
• Able to collaborate and coordinate with multiple teams, stakeholders and external partners.  
• Excellent stakeholder engagement and communication skills, with the ability to explain complex technical topics to business leaders, product teams, engineers, and others. 
• Experience in Teamcenter, Salesforce, SAP systems (e.g. SAP S4 HANA), Celonis, Incorta, or Microsoft PowerBI
• Experience working in a semiconductor or high-tech manufacturing environment. 

• Good coaching and influencing skills, with the ability to guide architecture decisions, mentor technical teams, facilitate design discussions, and build data architecture maturity across ASM. 
• Outcome-driven mindset with focus on business value, adoption, reuse, scalability, speed, cost efficiency, and measurable impact. 

We make the tech that enables the chips in devices which improve lives around the world. We do this with an eye to the future, pushing the boundaries of what’s possible through cutting-edge innovation, and driving the next wave of technological breakthroughs that shape how we live, work, and connect.

To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram, X and YouTube.

ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law.