Senior Engineer, DGX Cloud Resilience Engineering – Data Platform

NVIDIA

. Own and operate the data platform end to end, including pipelines that ingest, transform, and serve operational data .

Posted 11/9/2026full-timeUnited StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in owning and operating production data pipelines, ensuring reliability and quality while leading technical teams in an agile environment. Proficient in defining operational metrics and applying data modeling practices to enhance platform capabilities.

Highest-signal resume keywords

Data Pipeline OwnershipDatabricks ExpertisePython ProgrammingMedallion ArchitectureAgile Software Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData Quality AssuranceRoot Cause AnalysisOperational Metrics DefinitionData LineageData ModelingProduction Data CodeSchema DesignAPI Integration

Soft Skills

LeadershipMentoringCollaborationCommunicationIncident Response

Tools & Technologies

DatabricksDelta LakePagerDutyRootlyBackstage

Certifications & Qualifications

BS in Computer ScienceEngineering Degree

Industry Keywords

Agile EnvironmentOperational DataData FreshnessPipeline LatencyData Completeness

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own and operate the data platform end to end, including pipelines that ingest, transform, and serve operational data
Ensure pipeline reliability through uptime, data freshness, and quality targets
Lead incident response, root cause analysis, and prevention work
Define, instrument, and report operational success metrics such as SLIs/SLOs, pipeline latency, and data completeness
Partner with customer teams to understand data needs and translate them into platform capabilities and schemas
Set expectations for support and delivery
Set engineering standards, review designs and code, mentor engineers, and drive the platform roadmap

Requirements

What you’ll need

7+ years of experience in software technical leadership roles in an agile software development environment
BS in Computer Science, Engineering, or a related field, or equivalent experience
Experience owning and operating production data pipelines, with a track record of keeping them reliable, observable, and fresh
Hands-on expertise in Databricks, including designing and leading schemas, tables, and access patterns using Delta Lake
Strong Python skills, with experience building maintainable, well-tested, production-grade data code
Solid understanding of medallion architecture and data modeling practices
Experience applying data lineage, retention, and access policies in production environments
Experience building data products and tooling that enables agentic workflows and analysis
Experience working with APIs for operational data including PagerDuty, Rootly, and Backstage

Benefits

Comp & perks

Equity
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