Principal Engineer, Data, BIA & AI - Data Architect
Core
Own and govern ASM's Enterprise Data Architecture Framework, defining how key platforms fit together to support business operations, analytics, and AI/ML use cases.
Role type
Principal Data Architect (Enterprise Architecture & AI Readiness)
Builds
Scalable, secure, and cost-effective data architectures across lakehouse, warehouse, and streaming platforms for a global semiconductor manufacturer.
Domain
Semiconductor manufacturing, high-tech industry, enterprise data architecture, and AI/ML infrastructure.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Enterprise data architecture design, data governance, data quality management, cloud platform architecture, SQL, Python, Spark-based processing, metadata-driven engineering, data lineage and cataloging, responsible AI principles, stakeholder engagement, technical strategy.
Preferred skills
Coaching and influencing skills, outcome-driven mindset, experience with emerging technologies and industry trends.
Technologies
Databricks, SAP (S4 HANA), Teamcenter, Salesforce, Celonis, Incorta, Microsoft PowerBI, AWS, Azure, Google Cloud.
Responsibilities
Define and govern the Enterprise Data Architecture Framework and reference architectures; Design trusted data foundations supporting analytics, BI, and GenAI/Agentic AI use cases; Lead architecture reviews to ensure solution designs follow enterprise standards; Partner with business teams to translate priorities into scalable data solutions; Evaluate emerging technologies to evolve data and AI capabilities.
Seniority
Principal, hands-on IC with strategic influence and mentorship.