Senior Enterprise Data Observability & AI Architect

NVIDIA Corporation; Santa Clara (CA); On-site; USD 168,000 - 311,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara is seeking a Senior Data Application Engineer to shape the data observability and AI enablement strategy within the Enterprise Data Management team. You will define the product vision, architecture, and reusable frameworks for data integrity across the organization.

You will partner with EDM architects and business units to scale trusted data, surface anomalies, and build data governance assets, glossaries, and lineage maps.

Qualifications

• 10+ years of experience in Data & product management in large enterprises.
• Experience building knowledge frameworks for AI agent deployment.
• Familiarity with Databricks, Palantir, Informatica and ETL/ELT patterns.
• Knowledge of agentic AI workflows and production deployment.
• Strong master data, data quality and governance experience.
• Ability to present to senior stakeholders.
• Knowledge of supply chain and manufacturing data domains.
• CI/CD tools like Jira, Jenkins, Git.
• Full stack knowledge: sql, python, pyspark, React/Angular/NodeJs.
• Bachelor/Master in CS or related field.

Responsibilities

• Define product vision and roadmap for data observability.
• Design architecture for EDM data observability platform.
• Develop AI-powered observability capabilities.
• Own delivery from requirements to deployment.
• Collaborate with EDM architects and business partners.
• Ensure data governance and lineage mappings.

Skills

Data product mgmt

AI data solutions

Databricks

PySpark

SQL

Python

React/Node/Angular

Stakeholder mgmt

Data governance

Education

Bachelor's or Master's in CS/Data Eng

Tools

Databricks

Palantir

Informatica

ETL/ELT pipelines

Job description

NVIDIA in Santa Clara is seeking a Senior Data Application Engineer to shape the data observability and AI enablement strategy within the Enterprise Data Management team. You will define the product vision, architecture, and reusable frameworks for data integrity across the organization.

You will partner with EDM architects and business units to scale trusted data, surface anomalies, and build data governance assets, glossaries, and lineage maps.