The Enterprise Data Management – Data Application Engineer (Supply Chain) role at NVIDIA is focused on transforming enterprise data platforms and global business workflows within the supply chain domain. The engineer will work closely with business contacts and IT teams to develop scalable and resilient data solutions. This position requires a deep understanding of supply chain operations and data architecture, particularly in semiconductor manufacturing. The role emphasizes the integration of agentic AI to enhance data governance and observability.

• More than 8 years of experience in enterprise data architecture and engineering, MDM, RDM, and scalable data platform solutions.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Industrial Engineering, or equivalent experience.
• Hands-on expertise with Informatica Intelligent Data Management Cloud (IDMC).
• Extensive experience with Databricks lakehouse architecture and scalable data pipeline frameworks.
• In-depth understanding of supply chain and manufacturing data domains.
• Advanced skills in data modeling, canonical data construction, and metadata catalogs.
• Experience integrating enterprise data platforms with ERP and PLM systems.
• Hands-on knowledge of semiconductor chip supply planning.

• Develop an in-depth understanding of the entire chip supply chain and related data structures.
• Develop, test, and maintain data pipelines, APIs, and agent integrations for planning data solutions.
• Architect and implement enterprise Master Data Management and Reference Data Management solutions.
• Collaborate closely with engineering, business, and IT groups to create scalable data solutions.
• Design and implement data integration and pipeline architectures for large-scale datasets.
• Lead the creation of enterprise data governance capabilities, including business glossaries and data catalogs.
• Establish an AI-enabled data observability layer to monitor data quality and operational health.
• Build and manage enterprise-grade AI agents to automate workflows across data processing streams.
• Develop canonical data models and standardized taxonomies for consistent enterprise data.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.