# Manager of Data & AI Engineering

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 200,000 USD - 322,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Manager--Data-and-AI-Engineering_JR2028501?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cd351c41-699

## Description

We are looking for a Manager of Data & AI Engineering who combines deep technical expertise with strong delivery leadership and people management.

This role will drive the build-out of our next-generation autonomous data intelligence platform for Supply Chain Operations , from identifying high-impact opportunities to architecting, building, and productionizing solutions that deliver measurable business value.

The ideal candidate brings hands-on experience in architecture and engineering while demonstrating the ability to manage a high-performing team.

**Responsibilities:**

- Design and build scalable data and AI platforms using Databricks, AWS, and modern cloud-native engineering patterns.

- Deliver robust ETL/ELT, streaming, and CDC pipelines using technologies such as Spark, Kafka, Delta Lake, and AWS-native services.

- Enable delivery of AI-powered use cases including RAG applications, AI agents, tool-calling workflows, and data-driven web apps.

- Design data models using Star Schema, Snowflake Schema, and Data Vault patterns appropriate to the use case , optimizing for analytical query performance, data governance, and extensibility.

- Implement data quality frameworks, observability, alerting, and monitoring to ensure pipeline integrity and production reliability.

- 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.

**Requirements:**

- 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.

**Nice to Have:**

- 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 the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

## Skills

### Required
- AWS
- Databricks
- Apache Spark
- PySpark
- Delta Lake
- Large Language Models
- Autonomous Agents

### Nice to have
- Databricks Certifications
- AWS Certifications
- Supply Chain Business Processes

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Manager--Data-and-AI-Engineering_JR2028501?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)