Data Application Engineer, Enterprise Data Management at NVIDIA

Department: Engineer, Apps

Compensation

$168,000 – $310,500/yr

Setup: On-site
Location: California
Type: Full-time
Level: senior
Posted: Sep 21, 2026

Description

NVIDIA is hiring an Enterprise Data Management – Data Application Engineer (Supply Chain) to build, test, and maintain data pipelines, APIs, and agent integrations for chip and semiconductor supply-chain planning solutions. The role also architects master and reference data management, data integration and pipeline architectures, data governance, data observability, and AI-enabled data agents, while collaborating with engineering, business, and IT teams. Candidates need more than eight years of enterprise data architecture and engineering experience, strong Informatica and Databricks expertise, semiconductor supply-chain knowledge, and experience with ERP and PLM systems. The base salary is 168,000–264,500 USD for Level 4 and 196,000–310,500 USD for Level 5, with equity and benefits; applications were accepted until September 25, 2026.

Required Skills

Data architecture
Informatica IDMC
Databricks
Data governance
Data observability
Agentic AI
SAP S/4HANA
PLM systems
Data modeling

Additional Information

Minimum 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.
Required Previous Experiences: More than 8 years of experience in enterprise data architecture and engineering, MDM, RDM, and scalable data platform solutions, ideally in supply chain or semiconductor manufacturing environments.
Hands-on expertise with Informatica Intelligent Data Management Cloud, including MDM, CDI, CAI, CDGC, IDQ, Reference 360, Metadata Management, and Data Catalog capabilities.
Extensive experience with Databricks lakehouse architecture, Spark, PySpark, Delta Lake, scalable data pipeline frameworks, and dependable enterprise data platforms supporting operational, analytics, and AI/ML workloads.
Experience integrating enterprise data platforms with ERP and PLM systems, including SAP S/4HANA, SAP MDG, SAP IBP, and Salesforce.
Practical experience crafting agentic AI workflows using LLM-based agents, RAG, and orchestration for data quality, alerting, and observability.
Hands-on knowledge of semiconductor chip supply planning, PLM relationships, and planning master data within SAP IBP and Anaplan.
Preferred Qualifications: Experience in comprehensive supply chain or semiconductor manufacturing environments.
Hands-on data application engineering experience assisting a senior EDM architect.
Translation Company Name: NVIDIA