NVIDIA is seeking a highly motivated and experienced Senior Data Application Engineer to join the Enterprise Data Management team. This role focuses on defining the product vision and architecture for data integrity and observability capabilities. The engineer will develop reusable frameworks and partner with senior architects and business collaborators to scale trusted data across the enterprise. The position requires a deep understanding of supply chain processes and aims to build a lasting impact on data observability and AI enablement.

• 10+ years of experience in Data and product management with a track record of deploying enterprise-grade AI or data solutions at scale.
• Experience building and owning knowledge frameworks for AI agent deployment, including data specifications and governance policies.
• Working knowledge of enterprise data platforms such as Databricks, Palantir, and ETL/ELT tools.
• Familiarity with agentic AI workflows and experience deploying them in production for data quality or observability use cases.
• Strong foundation in master data management, data quality, and governance.
• Demonstrated ability to build senior stakeholder relationships and present complex technical concepts to non-technical audiences.
• Working knowledge of supply chain and manufacturing data domains.
• Experience in deploying software using CI/CD tools such as Jira and Jenkins.
• Full stack experience preferred with knowledge of SQL, Python, PySpark, and working knowledge of React, Angular, NodeJs.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or equivalent experience.

• Drive the end-to-end product vision for data observability, defining what gets built and in what order.
• Design the architecture for the EDM data observability platform with reusability as a first principle.
• Design and deliver AI-powered observability capabilities by building enterprise-grade agentic frameworks.
• Take full ownership from requirements through deployment, defining what gets monitored and how alerts are ranked.
• Ground observability decisions in a deep understanding of Hitech supply chain business processes.
• Design the inferencing stack for large language model inferencing to power observability capabilities.
• Partner with EDM architects to define enterprise data governance artifacts for observability and AI reliability.
• Champion AI-assisted software development methodologies to drive high-quality delivery across the observability product portfolio.

• 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.