Manager, Data and AI Engineering - CA, Santa Clara, United States

Originally posted 29 July 2026 by the employer. Relisted by the employer on 8 October 2026.

About the role

This role leads data and AI engineering to drive the build-out of an autonomous data intelligence platform for Supply Chain Operations.

What you'll do

- Design and build scalable data and AI platforms using Databricks, AWS, and modern cloud-native engineering patterns. - Deliver 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 to optimize analytical query performance, data governance, and extensibility. - Build the data foundation for GenAI, agentic AI, and advanced analytics initiatives, including RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration patterns. - Oversee resource planning, project execution, and delivery across concurrent initiatives while mentoring engineers and providing hands-on technical leadership across architecture and design reviews.

What you'll need

- 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. - Hands-on coding experience to write code, prototype, and build production systems alongside the team. - Knowledge of the AWS ecosystem, including Amazon S3, EC2, IAM, Lambda, and API Gateway. - Experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows. - Expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows.

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). - Hands-on experience scaling Unity Catalog. - Background 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.