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 9Lives® 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 www.postconsumerbrands.com and follow us on LinkedIn 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
Key Responsibilities
- 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
- 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
- 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 data
- Embed data quality, documentation, lineage, and observability into data assets
- Ensure production‑grade reliability and operational readiness in partnership with Governance and D&A Operations
- Partner with Analytics Solutions to enable BI, advanced analytics, and data science
- Deliver trusted, well‑modeled semantic layers that empower self‑service analytics
- Lead, mentor, and develop a team of on‑shore data engineers and coordinate with off‑shore partners
- Foster a culture of engineering excellence, accountability, and continuous improvement
- Drive adoption of modern tools, practices, and AI‑enabled engineering workflows
- Translate enterprise priorities into executable delivery plans
- Balance speed, quality, and sustainability across delivery and operations
- Leverage automation and AI tools to improve efficiency and code quality
Qualifications
What We’re Looking For
- 5+ years of experience in data engineering, data warehousing, or related disciplines
- 2+ years of experience leading data engineering teams and enterprise‑scale platforms
- Strong experience with modern cloud data stacks (e.g., Snowflake, dbt, ELT tools)
- Proven expertise in data modeling, including dimensional and domain‑oriented/semantic models
- Experience building production‑grade pipelines with testing, monitoring, and CI/CD
- Familiarity with data quality, observability, and governance practices
- Experience leveraging AI tools to accelerate engineering workflows
- Strong collaboration, communication, and stakeholder‑management skills
- Bachelor’s Degree REQUIRED in a technical or quantitative field (advanced degree preferred)
- Experience in CPG, manufacturing, supply chain, or commercial analytics
- Experience in federated or product‑oriented data operating models
- Exposure to real‑time streaming, generative AI, LLM‑enabled analytics, or RAG architectures
- Working knowledge of metadata, lineage, access controls, and data governance concepts
- Strong business acumen and comfort operating in ambiguity
Why You’ll Love This Role
Ready to Make an Impact?