Data Application Engineer, Enterprise Data Management
Core
Design and implement enterprise Master Data Management (MDM) and Reference Data Management (RDM) solutions, data pipelines, and AI-enabled observability for chip supply chain planning.
Role type
Senior IC data application engineer (supply chain/semiconductor)
Builds
Enterprise data platforms, data pipelines, APIs, and agentic AI workflows for supply chain planning
Domain
Semiconductor manufacturing and supply chain
Deliverable
production ML models
Required skills
Enterprise MDM/RDM architecture, Databricks lakehouse (Spark/PySpark/Delta Lake), Informatica IDMC, agentic AI/LLM orchestration, ontology/knowledge graphs, SAP S/4HANA/IBP/MDG integration, data governance and lineage, canonical data modeling
Preferred skills
Semiconductor chip supply planning, PLM system integration, event-driven data patterns, RAG architectures
Technologies
Informatica IDMC, Databricks, Spark, PySpark, Delta Lake, SAP S/4HANA, SAP IBP, SAP MDG, Anaplan, LLMs
Responsibilities
Develop and maintain data pipelines and agent integrations for planning data solutions; Architect MDM/RDM solutions for material, BOM, and supplier data; Design data integration architectures for large-scale manufacturing datasets; Lead creation of data governance capabilities including business glossaries and lineage tracking; Build AI-enabled data observability layers and agentic AI agents; Develop canonical data models and taxonomies for interoperable enterprise data
Seniority
Senior, hands-on IC
