Principal Engineer, Data, BIA & AI
Originally posted 9 September 2026 by the employer.
Join the team that owns ASM's enterprise data architecture, leveraging key platforms such as Databricks.
About the role
This role involves leading the definition, governance, and evolution of ASM’s enterprise data architecture to support business growth and digital transformation. The architect will translate business priorities into scalable data architecture and practical data solutions, owning the enterprise data architecture within the Data & AI Intelligence capability.
What you'll do
- Define and govern ASM's Enterprise Data Architecture Framework, including reference architecture, standards, guardrails, and reusable playbooks.
- Drive architectural consistency, reuse, and simplification across all data platforms and business domains.
- Design trusted data foundations supporting analytics, business intelligence, machine learning, GenAI, Agentic AI, process intelligence, and automation use cases.
- Embed security and compliance by design in partnership with Cyber Security, AI Governance, Enterprise Architecture, and Legal.
- Evaluate emerging technologies and industry trends to continuously evolve ASM's data and AI capabilities.
- Partner with manufacturing, supply chain, engineering, quality, and services teams to translate priorities into scalable solutions.
What you'll need
- 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).
Nice to have
- 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.
Skills: Data Architecture, Databricks, cloud platforms, AI/ML platforms, data governance
This role has been open 35 days — well below the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
973
|
Median days open
50 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | ASM International | All employers we track in this specialty (973 roles · 85 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 973 |
| Open roles in the wider Software, Firmware & Systems family | 40 | 6140 · 145 employers |
| Median days open | 32 d | 50 d (−18 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: Data Architecture, Databricks, cloud platforms, AI/ML platforms, data governance
Who's hiring in this category
- NVIDIA · 289 open roles · median 44 d
- Qualcomm · 61 open roles · median 57 d
- AMD · 57 open roles · median 21 d
- Graphcore · 44 open roles · median 90 d
- Intel Corporation · 40 open roles · median 9 d
- Cerebras · 39 open roles · median 80 d
How we counted: 973 open Infrastructure/Platform Software (Infrastructure Platform) roles from 85 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.