Principal Engineer, Data, BIA & AI - Data Architect

• 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 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.

• 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.

Apply today to be part of what’s next.

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.