3 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Own and operate the operational data platform, including pipelines that ingest, transform, and serve data.
- Ensure pipeline reliability through uptime, freshness, quality, observability, incident response, root cause analysis, and prevention work.
- Define and report operational metrics including SLIs, SLOs, pipeline latency, and data completeness.
- Partner with customer teams to translate data needs into platform capabilities and schemas.
- Set engineering standards, review designs and code, mentor engineers, and drive the platform roadmap.
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 reliable, observable, and fresh production data pipelines.
- Hands-on expertise in Databricks, including schemas, tables, access patterns, and Delta Lake.
- Strong Python skills and experience building maintainable, well-tested, production-grade data code.
- Understanding of medallion architecture and data modeling practices.
- Experience applying data lineage, retention, and access policies in production environments.
Benefits
- Hybrid work arrangement.
- Eligible for equity and benefits.
Tech Stack
DatabricksPython
Categories
Data Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.