Build the data foundation for GenAI, agentic AI, and advanced analytics initiatives, including RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration patterns
Partner with product, business, analytics, and AI collaborators to translate requirements into secure, scalable, and production-ready solutions.
Oversee resource planning, prioritization, project execution, and delivery across multiple concurrent initiatives, and mentor engineers, grow technical capability across the team, and develop a culture of accountability, innovation, and continuous improvement.
Provide hands-on technical leadership across architecture, design reviews, implementation guidance, and production readiness, and handle the full lifecycle of data engineering projects — from discovery and planning through execution and production rollout.
What we need to see
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.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
