Hiring.Camp

Senior Data Solution Architect/Engineer

Landolakes

·

Jun 9, 2026

Salary
$78k – $103k
Location
Gray Summit, MO (USA) (100), United States of America
Workplace
Hybrid, Onsite
Type
Full-time
Department
Engineering
Seniority
Senior
Experience
2+ years
Source
Workday

Description

Senior Data Solution Architect/Engineer

Position Description:

Senior Data Solution Architect/Engineer for Land O'Lakes, Inc., Gray Summit, MO.

Engineer Purina Animal Nutrition Data Analytics platform to handle vast datasets and deliver dynamic insights to researchers enhancing existing products; develop, design, and deliver high-impact dashboards, data visualizations, and data pipelines across different businesses/teams within the organization outside of the PANDA; organize and prepare Data Platform & Advanced Analytics, including architecture design, project implementations, and prototype development; organize, collaborate and assess on-site technical engagements with barn managers and researchers to assess data collection and timely monitoring needs for research studies and provide proactive alerts and insights for necessary actions for animals; set and drive monthly update meetings with species groups to review current research studies and trends; proactively develop technical leadership and learning plans in alignment with the manager to support the research organization with new technologies; establish and conduct engagements with data scientists, business leaders and researchers for product development and optimization; identify opportunities and work closely with barn managers, sales, marketing and research department to ideate, develop and deploy the digital products for improving the incremental sales, efficiency and processes. Position allows for hybrid work. Must live within reasonable commuting distance of Gray Summit, MO.

Requirements:

Master’s degree in Computer Science, Engineering Science, or Data Science/Analytics and 2 years’ experience as a data scientist or data engineer.

2 years of experience with the following: ETL tools, SQL Databases, Data Warehousing, and Data Modeling; Python, R, SQL, and Scala for processing large datasets in animal science, including statistical analysis and predictive modeling; Power platforms (Power BI, Power Automate, Power Apps, Power Pivot, Microsoft Fabric) to create dashboards and reports related to animal health, farm productivity, and research findings; Collaborating with barn managers, animal technicians, and veterinarians to develop and support custom applications in VB6 for animal nutrition data collection and performance tracking; Designing and optimizing data pipelines of farm data using cloud technologies, including Azure Functions, Data Lake, and APIs.

1 year of experience with the following: Building, training, and deploying machine learning and data science models to predict health, feeding, growth, and performance-related attributes; Developing and supporting data solutions that interface with barn management systems using SSAS, SSIS, SSRS, T-SQL, and similar tools; Network engineering, including maintenance of networking hardware like switches, routers, and APs.

Salary: $78,083 -$103,346/year

#LI-DNI

About Land O'Lakes, Inc.

Join us and be part of a Fortune 250, farmer- and member-owned cooperative that is reimagining the business of food. We have been named a Top Workplace by Indeed and LinkedIn, and to the TIME 100 Most Influential Companies list.


We provide a broad portfolio of benefits to keep you and your family at your best. Land O'Lakes is Where Your Future Takes Root.

Land O’Lakes and our global entities support diversity in employment practices.

Neither Land O’Lakes, nor its affiliates or search firms, will ever contact you and ask for confidential information over the phone or in email. If you receive a call or email like this, please do not provide the information being requested.    

                                                                                                  

If you need to submit a reasonable accommodation request to complete the employment application process, please call the HR Solution Center at 844-LOL-HR4U (844-565-4748) M-F 8:00am-4:30pm CT. 

Skills

PythonScalaAzureSQLMachine LearningData ScienceETLPower BIR

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