# Manager, Data and AI Engineering

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Manager--Data-and-AI-Engineering_JR2016861?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_168c39bb-348

## 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 productionize 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. This person will partner with business collaborators, translate operational challenges into data and AI solutions, and deliver at pace.

### 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 3+ 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

## Skills

### Required
- Databricks
- AWS
- Spark
- Kafka
- Delta Lake
- Large Language Models
- Agentic AI
- Apache Spark
- PySpark
- Databricks Workflows
- Unity Catalog

### Nice to have
- Active Databricks Certifications
- Active 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_JR2016861?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)