- Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience
- 10+ overall years in Data Engineering, Software Engineering, or web application development, with at least 4+ years specifically in a leadership or engineering management role.
- Willingness to Code. You are still a builder at heart. You are excited to spend your time writing code, prototyping, and building production systems alongside your team.
- AWS Proficiency. Intimate knowledge of the AWS ecosystem, including Amazon S3, EC2, IAM, Lambda, and API Gateway.
- Agentic AI & LLM Mastery. Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows.
- Databricks Mastery. Proven deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.
Ways to stand out from the crowd
- Active Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).
- Active AWS Certifications (e.g., Certified Data Engineer – Associate or Solutions Architect – Professional).
- Background in managing multi-functional teams that blend data engineers with front-end and back-end software developers.
- Knowledge of supply chain business processes for Plan, Make, Deliver & Services
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD – 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.