Engineering Manager - Data Platform and Infrastructure

Applied Intuition•Sunnyvale, CA

1d•Onsite

About The Position

We are looking for an Engineering Manager to lead our Data Platform team within the Data Engineering group. In this role, you will manage a world class data engineering team responsible for the full data lifecycle — from collection and ingestion to storage, querying, and retrieval — at hundreds of PBs scale. You will partner closely with all business units across Applied Intuition to define the technical roadmap for our data platform and ensure we can reliably support both external products and internal tooling across cloud, hybrid, and on-prem deployments. This is a highly cross-functional leadership role that requires deep technical credibility, strong people management skills, and a bias for ownership. At Applied Intuition, engineering managers are expected to be hands-on leaders who actively engage in technical direction, not just people management.

Requirements

A Bachelor's degree in Computer Science, Software Engineering, or equivalent
6+ years of professional software engineering experience, with 2+ years in an engineering management or tech lead role
Hands-on experience with large-scale open-source data technologies (Spark, Kafka, Hudi/Iceberg, Flyte, etc.)
A strong track record of leading teams that build and operate high-scale distributed data systems
Experience managing engineers across the full data lifecycle in a production environment
Deep understanding of containerization, cloud-native architectures, and modern software development workflows
Strong cross-functional communication skills and the ability to influence technical direction at a senior level

Nice To Haves

Proficiency in modern programming languages (Python, C++, GoLang, Scala, etc.)
Experience with Kubernetes and infrastructure-as-code tooling
Background in enterprise software environments, including on-prem and hybrid deployments
Familiarity with data quality, data profiling, and data governance frameworks
Experience hiring and building data infrastructure teams from the ground up
Prior exposure to automotive, defense, robotics, or other physical AI domains

Responsibilities

Lead, grow, and mentor a team of data infrastructure engineers, fostering a culture of technical excellence, ownership, and collaboration
Define and drive the technical roadmap for data infrastructure, balancing short-term delivery with long-term scalability
Partner with engineering, product, and business unit leaders to align data infrastructure investments with company priorities
Own the architecture and reliability of systems that handle the full data lifecycle across all deployment environments (cloud, hybrid, on-prem) and regions
Drive engineering decisions around scalable data ingestion, indexing, storage, and retrieval for high-volume autonomous vehicle and physical AI workloads
Champion the adoption of modern open-source data technologies and maintain a disciplined approach to build-vs-buy decisions
Establish and uphold engineering best practices, code quality standards, and operational excellence across the team
Recruit top engineering talent and build an inclusive, high-performing team