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About the Role

This role plays a key part in advancing our Enterprise Data Foundation by leveraging technologies Google Cloud Platform (GCP), BigQuery, Composer (Airflow), enterprise Python-based ingestion and orchestration capabilities, Incorta, and enterprise semantic layer technologies. This role will help bridge Hormel’s modern cloud data ecosystem and legacy enterprise data platforms while delivering trusted data assets that power Supply Chain analytics and decision-making.

Responsibilities

Lead and develop the Supply Chain Data Engineering team responsible for delivering curated data assets, data pipelines, dimensional models, semantic models, and foundational data capabilities supporting planning, procurement, manufacturing, inventory, logistics, and transportation.
Utilize enterprise ingestion, orchestration, and platform capabilities to acquire, integrate, transform, and curate data that supports analytics, reporting, and business decision-making.
Partner with Supply Chain stakeholders, Data Products & Solutions teams, architects, data scientists, and application teams to prioritize initiatives and deliver scalable data solutions that support business objectives.
Design, develop, and support Supply Chain data solutions across modern and legacy platforms, including BigQuery, Composer (Airflow), Python, Incorta, Oracle Analytics Server (OAS), Oracle Enterprise Data Warehouse, Informatica, PL/SQL, and enterprise semantic layer technologies.
Establish and promote engineering best practices, including data modeling standards, code reviews, testing strategies, CI/CD adoption, monitoring, observability, and operational support processes.
Partner with Data Governance teams and business data stewards to implement and maintain data quality rules, metadata cataloging, business glossary definitions, critical data elements, observability capabilities, and data remediation processes across Supply Chain data domains.
Drive modernization initiatives that advance the Enterprise Data Foundation, improving scalability, reliability, developer productivity, and long-term maintainability while reducing technical debt.
Provide technical leadership through architecture reviews, design reviews, mentoring, coaching, and cross-functional collaboration with Data Platform Engineering, Architecture, Infrastructure, Security, Governance, and Integration teams.

Requirements

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 developing and optimizing SQL solutions.
7+ years of experience designing, implementing, and supporting enterprise data warehouse, lakehouse, or modern data platform solutions.
5+ years of experience developing data pipelines and data integration solutions using Python and/or modern ETL/ELT technologies.
Strong experience with dimensional modeling, semantic modeling, and curated analytical data structures, including development and support of enterprise semantic layer solutions.
Demonstrated leadership experience leading technical teams, mentoring engineers, and delivering cross-functional initiatives.
Experience partnering with business stakeholders to translate business requirements into scalable data solutions.
Strong understanding of Supply Chain business processes including planning, procurement, manufacturing, inventory management, logistics, transportation, or warehouse operations.
Experience implementing data quality, monitoring, observability, and operational support practices.
Excellent communication, organizational, problem-solving, and stakeholder management skills.
Applicants must not now, or at any time in the future, require employer sponsorship for a work visa.
Applicants must be authorized to work in the United States for any employer.

Skills

Google Cloud Platform (GCP)
BigQuery
Composer (Airflow)
Python
Incorta
Dimensional modeling
Semantic modeling
Data pipelines
Data integration
ETL/ELT
SQL
PL/SQL
Oracle Analytics Server (OAS)
Oracle Enterprise Data Warehouse
Informatica
Data quality
Monitoring
Observability
CI/CD
Cloud Storage (GCS)
Dataflow
Pub/Sub
Data Fusion
AtScale
Cube

Location

Austin, MN
Eden Prairie, MN

Work Type

Onsite

Experience Level

Senior
7+ years of experience developing and optimizing SQL solutions
7+ years of experience designing, implementing, and supporting enterprise data warehouse, lakehouse, or modern data platform solutions
5+ years of experience developing data pipelines and data integration solutions using Python and/or modern ETL/ELT technologies

Education Level

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

Salary/Compensations

$119,525 - $167,325 per year

Benefits

Comprehensive medical, dental and vision coverage
Discretionary annual merit increases
Bonuses
Profit sharing
401(k) with employer match
Stock purchase plan
Paid time off
Free two-year community/technical college tuition for children of employees

About the Company

Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with approximately $12 billion in annual revenue across more than 80 countries worldwide.
Its brands include Planters®, Skippy®, SPAM®, Hormel® Natural Choice®, Applegate®, Wholly®, Hormel® Black Label®, Columbus®, Jennie-O® and more than 30 other beloved brands.
The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named one of the best companies to work for by U.S. News & World Report, one of America’s most responsible companies by Newsweek, recognized by TIME magazine as one of the World’s Best Companies, and has received numerous other awards and accolades for its corporate responsibility and community service efforts.

Equal Opportunity

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.