$200,000 – $322,000
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads a team building data and AI platforms for supply chain operations, combining hands-on engineering with people management to deliver scalable, production-ready solutions. It suits experienced data engineering leaders who code alongside their teams and can translate business problems into cloud-native architectures.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
- Amazon EC2
- Amazon S3
- Amazon Web Services (AWS)
- Apache Kafka
- Apache Spark
- AWS Lambda
- Databricks
- ETL
- PySpark
- Retrieval-Augmented Generation (RAG)
- Snowflake Schema
- Star Schema
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What they ask for
Required
- Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent experience
- 10+ years in Data Engineering, Software Engineering, or web application development
- 3+ years in leadership or engineering management role
- Active coding and hands-on building alongside team
- Deep AWS expertise including S3, EC2, IAM, Lambda, and API Gateway
- Proven experience operationalizing LLMs into autonomous agents
- Deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows
Nice to have
- Active Databricks certifications such as Data Engineer Professional or Generative AI Engineer Associate
- Active AWS certifications such as Certified Data Engineer Associate or Solutions Architect Professional
- Experience managing multi-functional teams mixing data engineers with front-end and back-end developers
- Knowledge of supply chain business processes for Plan, Make, Deliver, and Services
- Hands-on experience scaling Unity Catalog