Data Application Engineer, Enterprise Data Management
Core
Design and implement enterprise data governance, Master Data Management (MDM), and AI-enabled observability solutions for semiconductor supply chain planning.
Role type
Senior IC data application engineer (enterprise data management & agentic AI)
Builds
Enterprise data platforms, data pipelines, AI agents, and governance frameworks for supply chain operations
Domain
Semiconductor manufacturing / Supply chain / Enterprise Data Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Enterprise data architecture, MDM/RDM, Databricks lakehouse (Spark/PySpark/Delta Lake), Informatica IDMC, SAP S/4HANA/IBP/MDG, agentic AI workflows (LLM agents/RAG/orchestration), ontology/knowledge graphs, data modeling, ETL/ELT pipelines, API integrations, microservices, event-driven patterns
Preferred skills
Semiconductor chip supply planning, PLM system integration, Anaplan, ChatGPT/Copilot/Gemini/Claude practical experience
Technologies
Informatica IDMC, Databricks, Spark, PySpark, Delta Lake, SAP S/4HANA, SAP IBP, SAP MDG, SAP IBP, Anaplan, LLM frameworks
Responsibilities
Develop data pipelines, APIs, and agent integrations for planning tools; Architect MDM/RDM solutions for material, BOM, and supplier data; Design data integration architectures for large-scale datasets; Lead data governance capabilities (glossaries, catalogs, lineage); Build AI-enabled observability layers and self-healing data agents; Develop canonical data models and taxonomies; Integrate data platforms with ERP/PLM systems; Implement agentic AI workflows for data quality and alerting
Seniority
Senior, hands-on IC
