Principal Engineer, Data, BIA & AI
Core
Define and govern enterprise data architecture frameworks, standards, and reusable playbooks to support business operations, analytics, and AI/ML initiatives across the semiconductor manufacturing lifecycle.
Role type
Principal Data Architect (Enterprise Architecture & AI Readiness)
Builds
Scalable, secure, and cost-effective data architectures (lakehouse, warehouse, streaming) and trusted data foundations for GenAI and automation.
Domain
Semiconductor manufacturing / High-tech industry / Data & AI
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Enterprise data architecture, data governance, data quality, metadata management, data lineage, SQL, Python, Spark-based processing, orchestration, cloud platforms (AWS/Azure/GCP), Databricks
Preferred skills
Teamcenter, Salesforce, SAP (S4 HANA), Celonis, Incorta, Microsoft PowerBI, semiconductor industry experience
Technologies
Databricks, SAP, Teamcenter, Salesforce, Celonis, AWS, Azure, Google Cloud, SQL, Python, Spark
Responsibilities
Define and govern ASM's Enterprise Data Architecture Framework; Design trusted data foundations supporting analytics, BI, and GenAI; Partner with business teams to translate priorities into scalable data solutions; Lead architecture reviews to ensure compliance with enterprise standards.
Seniority
Senior, hands-on IC with strategic influence