Data Application Engineer, Enterprise Data Management

Details

We are inviting a highly motivated and experienced Enterprise Data Management Data Application Engineer specializing in supply chain operations to join NVIDIA's Business Applications group. The role focuses on creating, overseeing, and advancing enterprise data platforms and global business workflows. You will work with business contacts and IT teams to deliver scalable, resilient, and future-ready data solutions while improving data governance, observability, and information quality across the supply network.

Responsibilities

• Develop an in-depth understanding of the chip supply chain, including chip family and part development, PLM system input/output/yield correlations, ECC/Z-flow material master configuration and growth, NVIDIA planning master data such as BOM, Routing, and Production Version, and the ontology and knowledge graph structure supporting EDM agentic AI projects.
• 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.
• Collaborate with engineering, business, and IT groups to transform complex supply chain and semiconductor requirements into scalable, governed, and business-aligned data solutions.
• Design and implement real-time, batch, web-based, and event-based data integration and pipeline architectures for large-scale manufacturing and supply chain datasets.
• Lead the creation of enterprise data governance capabilities, including business glossaries, data catalogs, lineage tracking, and stewardship frameworks.
• Establish an AI-enabled data observability layer to monitor data quality, lineage, and operational health across data domains.
• Build and manage enterprise-grade AI agents supporting EDM data observability, automate workflows across data processing streams, and enable self-healing data from SAP systems and other business applications.
• Develop canonical data models, standardized taxonomies, and process-aligned data structures to ensure consistent, reusable, and interoperable enterprise data.

Requirements

• 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, data governance, data quality, and stewardship.
• In-depth understanding of supply chain and manufacturing data domains, including Material Master, BOM, Product Data, Supplier Data, and Reference Data.
• Ability to manage both procedural and functional elements of a data domain, understand detailed process flows and business rules, and incorporate agentic AI into data applications.
• Experience with ontology and knowledge graphs, data modeling, canonical data construction, enterprise terminology collections, metadata catalogs, and lineage frameworks.
• Experience developing enterprise data solution architectures using ETL/ELT pipelines, API integrations, microservices, and event-driven data patterns.
• Experience integrating enterprise data platforms with ERP and PLM systems such as SAP S/4HANA, SAP MDG, SAP IBP, SFDC, and associated tools.
• Practical experience crafting agentic AI workflows, including LLM-based agents, retrieval-augmented generation (RAG), and orchestration for 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 such as BOM, Routing, and Production Version as they relate to SAP IBP and Anaplan.

Benefits

• Base salary range of $168,000–$264,500 for Level 4 or $196,000–$310,500 for Level 5, depending on location, experience, and comparable employee compensation.
• Equity and benefits.
• NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.
• Applications will be accepted at least until September 25, 2026.
• This posting is for an existing vacancy.