Data Application Engineer, Enterprise Data Management - CA, Santa Clara, United States
$168,000 - $310,500 USD yearly
Originally posted 21 September 2026 by the employer.
Focus on the entire chip supply chain.
About the role
This role involves specializing in enterprise data management, supply chain operations, data architecture/platforms, and Agentic AI to partner with business and IT teams.
What you'll do
- Develop an in-depth understanding of the entire chip supply chain, including chip family and part development, PLM system input/output/yield correlations, and NVIDIA's planning master data (BOM, Routing, Production Version).
- Develop, test, and maintain data pipelines, APIs, and agent integrations for the Planning Data Management Tool (PDMT) and related chips and boards planning data solutions.
- Architect and implement enterprise Master Data Management (MDM) and Reference Data Management (RDM) solutions for material master, BOM, customer, supplier, and reference data within the supply chain.
- Design and implement data integration and pipeline architectures, including real-time, batch, web-based, and event-based pipelines for large-scale manufacturing and supply chain datasets.
- Lead the creation of enterprise data governance capabilities, encompassing business glossaries, data catalogs, lineage tracking, and stewardship frameworks.
- Establish an AI-enabled data observability layer to proactively monitor data quality, lineage, and operational health across data domains and build enterprise-grade AI agents.
What you'll need
- 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.
- 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.
- Hands-on expertise with Informatica Intelligent Data Management Cloud (IDMC), 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.
- In-depth understanding of supply chain and manufacturing data domains, including Material Master, BOM, Product Data, Supplier Data, and Reference Data.
- Ability to manage procedural and functional elements of a data domain, understand detailed process flows and business rules, and incorporate agentic AI into data applications with skills in ontology/knowledge graphs.
- Advanced skills in data modeling, canonical data construction, enterprise terminology collections, metadata catalogs, and lineage frameworks.
- Experience integrating enterprise data platforms with ERP and PLM systems, such as SAP S/4HANA, SAP MDG, SAP IBP, SFDC, and associated tools.
- Understanding of data platforms powered by advanced technology (e.g., ChatGPT, Copilot, Gemini, Claude) and practical experience crafting agentic AI workflows (LLM-based agents, RAG, orchestration) aimed at data quality, alerting, and observability.
- Hands-on knowledge of semiconductor chip supply planning, including chip family and part development, PLM input/output/yield relationships, and planning master data (BOM, Routing, Production Version) as they relate within SAP IBP and Anaplan.
Skills: chip supply chain, data pipelines, Master Data Management, AI agents, semiconductor manufacturing
This role has been open 19 days — well below the 46-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · Systems Software
|
Open roles in category
360
|
Median days open
46 d
|
Median salary
$148k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (360 roles · 57 employers) |
|---|---|---|
| Open roles in this specialty | 25 | 360 |
| Open roles in the wider Software, Firmware & Systems family | 949 | 6028 · 146 employers |
| Median days open | 41 d | 46 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $148k |
Skills observed across this category: chip supply chain, data pipelines, Master Data Management, AI agents, semiconductor manufacturing
Who's hiring in this category
- Keysight Technologies · 37 open roles · median 31 d
- KLA Corporation · 31 open roles · median 159 d
- Cadence Design Systems · 28 open roles · median 200 d
- Applied Materials · 26 open roles · median 46 d
- Micron Technology · 26 open roles · median 41 d
- NVIDIA (this employer) · 25 open roles · median 41 d
How we counted: 360 open Software Engineering Semiconductor (Systems Software) roles from 57 employers tracked in the SemiconductorJobs index, counted 11 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.