Manager, Data Engineering

Business Unit Overview

Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats, PEBBLES, Grape-Nuts and Malt-O-Meal cereal, and Peter Pan peanut butter, as well as Nutrish, Kibbles 'n Bits and 9

Lives dog and cat food. As a company committed to high standards of quality and to our values, we are driven by one idea:
To make lives better by making delicious food accessible for all. For more information about our brands, visit  and follow us on Linked In and Facebook for the latest news.

Brand

At Post Consumer Brands, we've spent generations showing up for families, starting with breakfast, the most important meal of the day. Our cereals have become a trusted part of daily routines, helping spark conversations, fuel busy mornings, and create everyday moments that bring families closer together, including their furry four-legged family members, who have recently become a part of our story.

As families have evolved, so have we. What began at the breakfast table has expanded into snacks, peanut butter, and pet food, because caring for a family means feeding every part of it. With the addition of several iconic pet brands, we've extended our purpose: to make high-quality, accessible food for everyone under the same roof.

This phase is still new, and that's what makes it exciting. As we continue to grow across grocery and pet, we're looking for people who care about good food, thoughtful work, and the kind of impact that stretches from store shelves to kitchen tables, and food bowls, across the country.

Location Description

Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.

Responsibilities

Manager, Data Engineering

Location:

Hybrid in Lakeville, MN

About the Role

At Post Consumer Brands, data is a strategic asset and the Manager, Data Engineering plays a pivotal role in shaping how we turn data into insight, impact, and innovation. This role leads the design, development, and operation of our modern data engineering foundation, powering trusted analytics, self‑service reporting, and AI‑ready data products across the enterprise.

You'll lead a team of data engineers responsible for building high‑quality, scalable data pipelines, data models, and semantic layers that support critical business decisions. Acting as both a people leader and technical leader, you'll balance delivery speed, reliability, and forward‑looking modernization, while partnering closely with Analytics Solutions, Architecture, Governance, and business stakeholders.

This role reports to the Associate Director of Data & Analytics and serves as a key technical leader within our evolving, product‑oriented data ecosystem.

Key Responsibilities

Data Engineering Foundation & Delivery

* Lead the design, development, and maintenance of data pipelines, data models, semantic models, and data platforms aligned to enterprise standards

* Deliver curated, durable, and reusable data assets aligned to priority business decision domains

* Ensure timely, accurate, and reliable availability of data across enterprise analytics use cases

Technical Design & Scalability

* Partner with Data & Analytics Architecture to align solutions with enterprise standards and best practices

* Ensure platforms and pipelines are scalable, performant, maintainable, and adaptable

* Make informed tradeoff decisions across performance, cost, and delivery speed

Modern Data Ecosystem Enablement

* Build AI/ML‑ready and product‑oriented data engineering capabilities

* Engineer low‑latency and real‑time data pipelines for operational analytics and intelligent applications

* Develop ingestion and processing frameworks for structured and unstructured…