Senior Engineer - Enterprise Data Governance

Details

NVIDIA is hiring a Senior Engineer to build the company's Enterprise Data Governance platform. The platform spans sensitive-information protection, governed data access across collaboration and content systems, and the knowledge infrastructure needed to make enterprise AI trustworthy and accurate. The role addresses access-control challenges involving AI agents, export controls, legal constraints, and security policies across a complex enterprise environment.

Responsibilities

Sensitive Information Protection

• Own the roadmap for sensitive-information detection and remediation.
• Work with Finance, Legal, and Security to define classification models, remediation workflows, and trusted reporting.
• Evaluate and integrate machine-learning-based classification approaches to detect sensitive content across unstructured data at scale.
• Improve classification precision and recall as the data landscape evolves.

Governed Data Access at Scale

• Drive production rollout and self-service onboarding for the enterprise data access platform.
• Build and manage connectors across email, messaging, document stores, and search systems, including Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, Google Drive, and Glean.
• Design and implement export-control enforcement and long-term audit logging.
• Work on authorization checks, schema design, data masking, retention, and role-based access control across connected systems.

Enterprise AI Knowledge Readiness

• Integrate enterprise content sources, including document stores, wikis, and cloud drives, into the AI knowledge platform.
• Ensure content is accurate, fresh, correctly scoped, and only surfaced to AI agents when users are authorized to access it.
• Establish and enforce quality standards for content ingestion across integrations, including freshness, accuracy, and access-control correctness.

Technical Leadership

• Serve as technical lead across the sensitive-information protection, governed data access, and enterprise AI knowledge-readiness charters.
• Make architectural decisions, resolve ambiguity, and keep the team focused on delivering production systems.
• Raise engineering standards through code reviews, design reviews, and technical mentorship.

Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• At least 8 years of experience building and operating large-scale enterprise platforms, with demonstrated growth in technical scope and ownership.
• Strong foundation in backend systems, distributed systems, and data engineering, including large-scale data processing, indexing pipelines, and reliable systems built for scale.
• Experience building or integrating data connectors or enterprise SaaS integrations, such as Confluence, SharePoint, Google Drive, Slack, Teams, or similar systems.
• Experience training and evaluating machine-learning models for classification tasks, particularly in security, content sensitivity, or information governance domains.
• Strong communication skills and the ability to translate complex technical tradeoffs into clear recommendations for non-technical stakeholders.
• Ability to make decisions with incomplete information and adjust quickly as priorities shift.

Preferred Qualifications

• Familiarity with access-control models, remediation workflows, and audit requirements in enterprise security or compliance contexts.
• Experience with AI/LLM data pipelines, vector stores, or retrieval-augmented generation architectures, especially where access-control fidelity is required.
• Hands-on experience with Databricks for audit logging and RBAC, or familiarity with Glean or similar enterprise search and data-loss-prevention products.
• Experience leading platform migrations, tenant consolidations, or governance modernization at scale.
• Experience mentoring engineers or leading cross-functional projects involving Security, Legal, Finance, and platform teams.

Benefits

• Equity and benefits are provided.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.