Senior Engineer, Enterprise Data Governance & Access

Nvidia Corporation in; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA seeks a Senior Engineer to build the Enterprise Data Governance platform spanning sensitive-information protection, data access controls, and the knowledge infrastructure for trustworthy enterprise AI.

You will lead architectural decisions, collaborate with Finance, Legal, and Security, and mentor engineers on hard infrastructure challenges. The role is on-site with equity and benefits, and opportunities to scale governance across NVIDIA’s enterprise systems.

Qualifications

• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• 8+ years of experience building and operating large-scale enterprise platforms.
• Strong foundation in backend systems, distributed systems, and data engineering.
• Experience building or integrating data connectors or enterprise SaaS integrations (e.g., Confluence, SharePoint, Google Drive, Slack, Teams).
• Experience training and evaluating ML models for classification tasks, particularly in security, content sensitivity, or information governance domains.
• Strong communication skills with the ability to translate complex technical tradeoffs into clear recommendations for non-technical stakeholders.
• Comfortable making calls with incomplete information and adjusting quickly as priorities shift.

Responsibilities

• Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust.
• Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves.
• Drive production rollout and self-service onboarding for the enterprise data access platform, spanning connectors across email, messaging, document stores, and search (Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, Google Drive, Glean).
• Design and implement export-control enforcement and long-term audit logging, including authorization checks, schema design, data masking, retention, and RBAC controls across every connected system.
• Integrate enterprise content sources including document stores, wikis, and cloud drives into the AI knowledge platform, ensuring content is accurate, fresh, and correctly scoped so AI agents only surface what they are authorized to access.
• Set and enforce the quality bar for content ingestion across every integration, from freshness and accuracy to access-control correctness.
• Serve as technical lead across all three charters, making architectural calls, resolving ambiguity, and keeping the team focused on what ships.
• Raise the engineering bar through code reviews, design reviews, and technical mentorship.

Skills

Backend systems

Distributed systems

Data engineering

ML models

Security governance

Enterprise SaaS integrations

Communication

Leadership

Education

Bachelor's or Master's in CS/CE

Tools

Databricks

Glean

Confluence

SharePoint

Google Drive

Slack

Teams

Job description

NVIDIA in Santa Clara, CA seeks a Senior Engineer to build the Enterprise Data Governance platform spanning sensitive-information protection, data access controls, and the knowledge infrastructure for trustworthy enterprise AI.

You will lead architectural decisions, collaborate with Finance, Legal, and Security, and mentor engineers on hard infrastructure challenges. The role is on-site with equity and benefits, and opportunities to scale governance across NVIDIA’s enterprise systems.