Data Foundations Engineering Manager

Summit Health•Minneapolis, MN

1d•$95,800 - $175,000•Hybrid

About The Position

As a Data Foundations Engineering Manager located in Birmingham, AL, Minneapolis, MN or San Francisco, CA, you will be the engine that transitions our data infrastructure from a centralized queue into a modern software platform. You will treat our data platform as an internal product, building the backend services, APIs, and CI/CD frameworks that empower external software engineering teams to "Shift Left" and seamlessly self-serve their own data ingestion. While no two days are the same, you will focus on eliminating architecture bottlenecks and accelerating enterprise data velocity by leading a talented team of software and platform-leaning data engineers. You will own the vision, roadmap, and developer experience, build elegant Command Line Interfaces (CLIs) and SDKs to minimize onboarding friction, and lead the technical design of our Pipeline-as-a-Service (PaaS) infrastructure to move away from manual ETL builds toward automated, reusable code frameworks.

Requirements

6+ years of experience in Software Engineering, Platform Engineering, or DevOps
2+ years of experience leading or managing technical engineering teams
Strong foundational background in backend software architecture, microservices, and API development (Python, Go, or Java preferred)
Proven track record of building and managing enterprise-grade CI/CD automation pipelines, introducing automated testing, code validation gates, and Git-driven infrastructure deployment (e.g., GitHub Actions, GitLab CI, Terraform)
Deep technical familiarity with cloud data infrastructure, with a preference for Snowflake/Snowpark, Kafka, Airflow, or GCS
Experience overseeing the scaling, compute efficiency, and architecture of core cloud data lake and warehousing environments
Passionate advocate for developer experience (DevEx) who natively defaults to automation over manual system configuration
Bachelor's Degree or equivalent experience

Nice To Haves

API Development
Artificial Intelligence (AI)
GitHub Actions
Platform Engineering
Python (Programming Language)
Software Development Kits (SDKs)

Responsibilities

Own the vision, roadmap, and developer experience for the data platform.
Build backend services, APIs, and CI/CD frameworks.
Empower external software engineering teams to self-serve their own data ingestion.
Eliminate architecture bottlenecks and accelerate enterprise data velocity.
Lead a team of software and platform-leaning data engineers.
Build elegant Command Line Interfaces (CLIs) and SDKs.
Lead the technical design of Pipeline-as-a-Service (PaaS) infrastructure.
Move away from manual ETL builds toward automated, reusable code frameworks.