Senior Engineer - Enterprise Data Governance

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 168,000 - 322,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Communication","Mentorship"]

Build NVIDIA’s Enterprise Data Governance platform that protects sensitive information while enabling governed access across enterprise collaboration and content systems. Own roadmap for detection and remediation models, design export-control enforcement with auditable logging, and drive scalable onboarding via connectors to tools like Outlook, Teams, Slack, and SharePoint. Integrate content into the AI knowledge layer so agents only access correctly scoped, high-quality information.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Engineer - Enterprise Data Governance

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Last checked: 15 hours agoStatus: Live

Job Summary

Build NVIDIA’s Enterprise Data Governance platform that protects sensitive information while enabling governed access across enterprise collaboration and content systems. Own roadmap for detection and remediation models, design export-control enforcement with auditable logging, and drive scalable onboarding via connectors to tools like Outlook, Teams, Slack, and SharePoint. Integrate content into the AI knowledge layer so agents only access correctly scoped, high-quality information.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the roadmap for sensitive-information detection and remediation, including classification model definition and trusted reporting with Finance, Legal, and Security.
  • •Evaluate and integrate ML-based classification approaches for sensitive content across unstructured data, iterating on precision and recall.
  • •Drive production rollout and self-service onboarding for an enterprise data access platform, building governed access across connectors to collaboration and content systems.
  • •Design export-control enforcement and long-term audit logging, including authorization checks, schema design, data masking, retention, and RBAC across connected systems.
  • •Serve as technical lead across multiple charters, making architectural calls and raising engineering bar through design/code reviews and mentorship.

Pay and Benefits

Salary: USD 168,000 - 322,000 annually
Equity and Bonus:Equity
Perks:EquityBenefits

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
  • •8+ years building and operating large-scale enterprise platforms with growing technical scope and ownership.
  • •Strong foundation in backend systems, distributed systems, and data engineering for reliability and scale.
  • •Experience building/integrating data connectors or enterprise SaaS integrations (e.g., Confluence, SharePoint, Google Drive, Slack, Teams).
  • •Experience training and evaluating ML models for classification in security, content sensitivity, or information governance.
Experience:8+ yearsEnterprise platformsData engineeringMachine learningSecurityInformation governance
Education:
Skills:CommunicationMentorship
Tech Stack:MLClassification modelsPrecisionRecallAudit loggingExport controlsRBACData maskingRetentionRBAC controlsConnectorsOutlookTeamsSlackConfluenceOneDriveSharePointGoogle DriveGleanDatabricks

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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