NVIDIA
Data Application Engineer, Enterprise Data Management
$168K–$310K
US, CA, Santa Clara · Full-time · Posted Oct 26, 2026
- Experience
- More than 8 years; ideally in comprehensive supply chain or semiconductor manufacturing environments.
- Education
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Industrial Engineering, or equivalent experience in enterprise data architecture and data platform implementations.
About the job
Build and maintain governed enterprise data platforms and AI-enabled applications for supply chain planning, data quality, and observability.
What you'll do
- Develop and maintain data pipelines, APIs, and agent integrations for planning data solutions.
- Design MDM/RDM solutions, data models, and governance capabilities for supply chain data.
- Build AI agents and observability workflows to monitor data quality, lineage, and operational health.
What they ask for
- More than 8 years of experience in enterprise data architecture and engineering, MDM, RDM, and scalable data platforms.
- Hands-on expertise with Informatica Intelligent Data Management Cloud (IDMC) capabilities.
- Extensive experience with Databricks lakehouse architecture, Spark, PySpark, Delta Lake, and enterprise data pipelines.
- Experience integrating data platforms with ERP and PLM systems, and understanding supply chain/manufacturing data domains.
Pay
168,000 USD - 264,500 USD (base salary, Level 4); 196,000 USD - 310,500 USD (base salary, Level 5)
Tools
Informatica Intelligent Data Management Cloud (IDMC), Databricks, Spark, PySpark, Delta Lake, SAP S/4HANA, SAP MDG, SAP IBP
AI focus
Build agentic AI workflows and enterprise agents for data observability, quality, alerting, workflow automation, and self-healing; work with LLM-based agents, RAG, orchestration, and ontology/knowledge graphs.
Model-written summary · the original posting is authoritative