Senior Data Application Engineer – Enterprise Data Management
Core
Define product vision and architecture for NVIDIA's data integrity and observability capabilities, building reusable frameworks and AI-powered agentic systems for self-healing data pipelines.
Role type
Senior IC data application engineer (product strategy & AI observability)
Builds
Enterprise data observability platform, agentic AI frameworks, and foundational data infrastructure
Domain
Enterprise data management, supply chain, AI/LLM operations
Deliverable
production ML models | product features
Required skills
Data product management, AI agent deployment, enterprise data platforms (Databricks, Palantir), agentic AI workflows, master data management, supply chain data domains, CI/CD, SQL, Python, PySpark
Preferred skills
Full stack development (React, Angular, NodeJs), LLM inferencing stack design, prompt engineering
Technologies
Databricks, Delta Lake, PySpark, Palantir, Informatica, Jira, Jenkins, Git, LLMs, RAG
Responsibilities
Drive end-to-end product roadmap for data observability, design modular data quality solutions, build AI-powered observability capabilities, own delivery from requirements to deployment, define enterprise data governance artifacts, champion AI-assisted software development
Seniority
Senior, hands-on IC with strategy & mentorship