Platform Engineer

Hormel Foods; Austin (MN); On-site; USD 114,000 - 159,000; Full time

Job summary

Hormel Foods Corporation in Austin, MN preferred is seeking a Data Platform Engineer II to drive enterprise ingestion, data and orchestration tooling, and platform capabilities. You will partner with Data Engineering, Integration, Architecture, Infrastructure, Security, Governance and Analytics teams to enable scalable, secure, and reliable data platforms.

4 days a week on-site, Fridays optional WFH. The base pay range is $113,500–$158,900 per year, with relocation assistance if required.

Qualifications

• Bachelor’s degree in computer science, MIS, engineering, or related field.
• 7+ years supporting enterprise data, analytics, ingestion, orchestration, or related platforms.
• Experience defining roadmaps, release strategies, standards, and vendor engagement for data tools.
• Experience driving platform adoption, developer enablement, and automation.
• Experience CI/CD frameworks, deployment automation, and SDLC standards.
• Experience evaluating platform capabilities and setting technical standards across teams.
• Experience developing automation with Python, SQL, scripting.
• Applicants must not require visa sponsorship and be authorized to work in the United States.

Responsibilities

• Drive the roadmap, adoption, and continuous improvement of enterprise ingestion, data, and orchestration tools and platforms.
• Partner with Data Engineering, Integration, Architecture, Infrastructure, Security, Governance, and Data Analytics teams to enable scalable, secure, and reliable platform capabilities.
• Lead data and analytics tool and platform lifecycle activities including roadmap planning, releases, upgrades, vendor engagement, automation, and modernization initiatives.
• Design, implement, and support CI/CD frameworks, deployment automation, and engineering standards that improve delivery speed, quality, and consistency.
• Develop reusable tooling, templates, automation solutions, and self-service capabilities that enhance developer productivity and platform adoption.
• Establish and evolve software development lifecycle (SDLC) standards, deployment governance, source control practices, and engineering best practices.
• Support and enhance enterprise ingestion capabilities, including a custom Python-based ingestion framework and related platform technologies.
• Evaluate emerging technologies and platform capabilities, providing recommendations that align with enterprise data and analytics strategy.
• Create and maintain technical documentation, onboarding materials, training resources, runbooks, and operational standards.
• Partner with delivery teams to improve tool and platform utilization, reduce operational friction, and accelerate solution delivery.
• Implement and enhance tool and platform observability, monitoring, reliability, and operational support capabilities.
• Collaborate with software vendors and external partners to support roadmap planning, platform enhancements, issue resolution, and adoption initiatives.
• Serve as a technical leader and trusted advisor for enterprise data and analytics tooling, standards, automation, and developer enablement initiatives.

Skills

Python

SQL

CI/CD

Automation

DevOps

Cloud

Data platform

Education

Bachelor’s degree in computer science, MIS, engineering, or related field

Tools

BigQuery

Composer/Airflow

Pub/Sub

Dataflow

GitHub

Incorta

Python

Job description

DATA PLATFORM ENGINEER II – CORPORATE OFFICE (AUSTIN, MINNESOTA PREFERRED)

• 4 days a week on-site, Fridays optional WFH
• Hormel does not offer sponsorship for employment-based visas for this position at this time.

RESPONSIBILITIES:

• Drive the roadmap, adoption, and continuous improvement of enterprise ingestion, data, and orchestration tools and platforms.
• Partner with Data Engineering, Integration, Architecture, Infrastructure, Security, Governance, and Data Analytics teams to enable scalable, secure, and reliable platform capabilities.
• Lead data and analytics tool and platform lifecycle activities including roadmap planning, releases, upgrades, vendor engagement, automation, and modernization initiatives.
• Design, implement, and support CI/CD frameworks, deployment automation, and engineering standards that improve delivery speed, quality, and consistency.
• Develop reusable tooling, templates, automation solutions, and self-service capabilities that enhance developer productivity and platform adoption.
• Establish and evolve software development lifecycle (SDLC) standards, deployment governance, source control practices, and engineering best practices.
• Support and enhance enterprise ingestion capabilities, including a custom Python-based ingestion framework and related platform technologies.
• Evaluate emerging technologies and platform capabilities, providing recommendations that align with enterprise data and analytics strategy.
• Create and maintain technical documentation, onboarding materials, training resources, runbooks, and operational standards.
• Partner with delivery teams to improve tool and platform utilization, reduce operational friction, and accelerate solution delivery.
• Implement and enhance tool and platform observability, monitoring, reliability, and operational support capabilities.
• Collaborate with software vendors and external partners to support roadmap planning, platform enhancements, issue resolution, and adoption initiatives.
• Serve as a technical leader and trusted advisor for enterprise data and analytics tooling, standards, automation, and developer enablement initiatives.

QUALIFICATIONS:

Required

• Bachelor’s degree in computer science, MIS, engineering, or related field, and significant experience supporting enterprise data, analytics, and technology platforms.
• 7+ years of experience supporting or enabling enterprise data, analytics, ingestion, orchestration, engineering, DevOps, cloud, or related technology tools and platforms.
• Experience establishing and advancing tool and platform roadmaps, release strategies and coordination, standards, operational practices, and vendor engagement activities for enterprise data and analytics tools.
• Experience driving platform adoption, developer enablement, and engineering productivity through automation, documentation, self-service capabilities, and training.
• Experience designing, implementing, and supporting CI/CD frameworks, deployment automation, source control practices, and software development (SDLC) standards.
• Experience evaluating platform capabilities, defining technical standards, and influencing platform direction across multiple engineering teams.
• Experience implementing developer enablement programs, technical documentation, onboarding frameworks, and self-service tooling.
• Experience developing automation solutions using Python, SQL, scripting, or related technologies.
• Applicants must not now, or at any time in the future, require sponsorship for a work visa.
• Applicants must be authorized to work in the United States for any employer.

Preferred technologies/skills:

• BigQuery
• Composer/Airflow
• Pub/Sub
• Dataflow
• GitHub
• Python
• Incorta

LOCATION:

Corporate Office, Austin, MN preferred; or one of the following Hormel Offices: Willmar, MN / Eden Prairie, MN / Des Moines, IA / Chicago, IL / Naperville, IL / Kansas City, KS.

A comprehensive relocation package to the Austin, MN area will be offered, if required.

At Hormel Foods, base pay is one part of our total compensation package and is determined within a range. The base hiring pay range for the Data Platform Engineer II role is between $113,500 - $158,900 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location.

At Hormel we invite difference and diversity in all aspects. We offer a space of support, understanding, and community. We are committed to the journey! Learn more about our progress here: https://www.hormelfoods.com/about/diversity-and-inclusion/

Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.