Platform Lead, Enterprise Data Governance (Equity Eligible)

NVIDIA; Town of Montana (WI); On-site; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring a Senior Engineer to build our Enterprise Data Governance platform, spanning sensitive-information protection, governed data access across collaboration systems, and AI knowledge readiness. You will lead architecture decisions, drive secure data access at scale, and mentor engineers across multiple teams.

The role emphasizes backend/distributed systems, data processing, and experience with enterprise SaaS integrations.

Qualifications

• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 8+ years of experience building and operating large-scale enterprise platforms.
• Strong backend, distributed systems, and data engineering foundations.
• Experience with data connectors or enterprise SaaS integrations (Confluence, SharePoint, Google Drive, Slack, Teams).
• Experience training ML models for classification tasks in security/governance domains.
• Strong communication for non-technical stakeholders and ability to adapt to shifting priorities.

Responsibilities

• Own roadmap for sensitive-information detection and remediation with cross-functional partners.
• Drive enterprise data access at scale with RBAC, audits, and data masking.
• Integrate enterprise content into AI knowledge platform and enforce content quality.
• Provide technical leadership across charters, code/design reviews, and mentorship.

Skills

Backend systems

Distributed systems

Data engineering

Security governance

ML model evaluation

Communication

Ambiguity tolerance

Stakeholder alignment

Education

Bachelor's or Master's Degree in Computer Science or related field

Tools

Databricks

Glean

Confluence

SharePoint

Google Drive

Slack

Teams

Job description

NVIDIA is hiring a Senior Engineer to build our Enterprise Data Governance platform, spanning sensitive-information protection, governed data access across collaboration systems, and AI knowledge readiness. You will lead architecture decisions, drive secure data access at scale, and mentor engineers across multiple teams.

The role emphasizes backend/distributed systems, data processing, and experience with enterprise SaaS integrations.