Design and operate telemetry ingestion pipelines that collect and process data from endpoint, identity, network, cloud, and other enterprise security sources.
Normalize and enrich telemetry into structured datasets using standardized schemas and entity models so signals from different systems can be correlated consistently.
Build and maintain data models and graph ready structures that connect users, devices, identities, and activity across the security ecosystem.
Provide governed access to security datasets through APIs, query interfaces, and streaming pipelines used by Detection, Automation, AI, and Analytics teams.
Define lifecycle and retention strategies across hot, cold, and archive storage tiers to balance performance, scalability, and cost.
Work closely with enterprise data engineering and security engineering teams to align on architecture, data fabric strategy, and shared platform capabilities.
Maintain clear documentation of data sources, schemas, and entity definitions so teams across NVIDIA can reliably build on the platform.

Requirements

Bachelor’s degree in Computer Science, Engineering, Cybersecurity, Data Engineering, or a related technical field, or equivalent experience.
5+ years of experience designing and operating large scale data pipelines in a security or enterprise data environment.
Strong understanding of security telemetry including endpoint, identity, network, cloud, and email data sources.
Experience working with modern data platforms and ingestion technologies such as Databricks, Snowflake, Kafka, Spark, Flink, or similar systems.
Hands on experience with data normalization frameworks or standards such as OCSF, ECS, or equivalent approaches.
Understanding of data access patterns including APIs, query layers, views, and role based access control.
Ability to collaborate across teams and clearly document complex data systems for a broad technical audience.

Benefits

Equity
Comprehensive benefits package

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesdata modelingdata normalizationtelemetry ingestionAPI developmentquery interfacesstreaming pipelinesdata retention strategiessecurity telemetrydata access patterns

Soft Skills

collaborationdocumentationcommunication