Senior Engineer, DGX Cloud Resilience Engineering - Data Platform
About The Position
Join NVIDIA’s DGX Cloud Resilience Engineering team to build and operate the operational data foundation that supports reliability and resiliency across the DGX Cloud program. The team designs and operates data platforms, pipelines, and schemas that help engineering and leadership teams measure, understand, and improve operational excellence at scale. The role owns the data platform end to end, including pipelines that ingest, transform, and serve operational data. It ensures pipeline reliability through uptime, freshness, and quality targets; leads incident response and root cause analysis; and drives prevention and continuous improvement. The Senior Engineer defines and reports operational success metrics, partners with customer teams to translate data needs into platform capabilities and schemas, and provides technical leadership through standards, design and code reviews, mentoring, and roadmap development.
Requirements
- 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.
- Confirmed 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 and experience building maintainable, well-tested, production-grade data code.
- Solid understanding of medallion architecture and data modeling practices, with judgment to balance data quality, performance, and usability.
- Experience applying data lineage, retention, and access policies in production environments.
Nice To Haves
- Experience building data products and tooling that enables agentic workflows and analysis.
- Experience working with operational data APIs, including PagerDuty, Rootly, and Backstage.
Responsibilities
- Own and operate the data platform end to end, including pipelines that ingest, transform, and serve operational data to leadership and partner teams.
- Set and meet targets for pipeline uptime, data freshness, and quality.
- Lead incident response, root cause analysis, and prevention work for data pipelines.
- Define, instrument, and report operational success metrics, including SLIs/SLOs, pipeline latency, and data completeness.
- Use operational metrics to drive prioritization and continuous improvement.
- Partner with customer teams to understand data needs and translate them into platform capabilities and schemas.
- Set clear expectations for support and delivery.
- Provide technical leadership by setting engineering standards, reviewing designs and code, mentoring engineers, and driving the platform roadmap.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
