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 unnecessary platform fragmentation. 
• Lead architecture reviews, and peer reviews to ensure solution designs follow enterprise data architecture standards and deliver measurable business impact. 

 Design Trusted and AI-Ready Data Foundations 

• Define architectural patterns for data products, integration, interoperability and data sharing across domains. 
• Design trusted data foundations supporting analytics, business intelligence, machine learning, GenAI, Agentic AI, process intelligence and automation use cases. 
• Design scalable, secure, reusable, and cost-effective data architectures across lakehouse, warehouse, data lake, streaming, near-real-time, event-driven, operational, and analytical platforms. 
• Embed security and compliance by design (classification, retention, trade compliance, access etc.) in partnership with Cyber Security, AI Governance, Enterprise Architecture and Legal.  
• Ensure architecture-by-design for data quality, consistency, accuracy, completeness, lineage, integrity, observability, auditability, and explainability across all layers. 

Partner, Influence and Innovate 

• Partner with manufacturing, supply chain, engineering, quality, services, and other teams to translate priorities into scalable solutions. 
• Work with Digital Transformation Business Partners to translate business outcomes, process needs, analytical needs, and value opportunities into scalable and reusable data architecture solutions. 
• Ensure architecture decisions are practical to adopt by the various teams, including documentation, and reusable templates. 

 Be a Subject Matter Expert 

• Support the establishing of the vision for managing data as a business asset, and to maximize the return on data assets.  
• Evaluate emerging technologies and industry trends to continuously evolve ASM's data and AI capabilities. 
• Support the fostering of the creation of a data-driven culture, related competencies and data literacy across ASM. 

What we are looking for

• 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. 

What sets you apart

• 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.