Cargill Jobs

Director, Data Engineering - Manufacturing Data

Cargill

Director, Data Engineering - Manufacturing Data

Posted 24 Days Ago

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Atlanta, GA, USA

In-Office

Expert/Leader

Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial

Reimagining what's possible for food and agriculture

The Role

Leads the design, development, and maintenance of enterprise data systems supporting manufacturing data, analytics, reporting, and AI. Oversees scalable cloud-based solutions, data pipelines, infrastructure, modeling, formats, and frameworks. Partners with stakeholders to align data capabilities with business needs and manages a high-performing data engineering team through coaching, performance management, and organizational development.

Summary Generated by Built In

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life's essentials, we enable businesses to grow, communities to prosper, and consumers to live well.
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.
Job Purpose and Impact
The Director, Data Engineering - Manufacturing Data job leads the team responsible for the execution of the tactical and strategic plans related to design, development and maintenance of robust data systems. This job provides guidance to the team that ensures the efficient processing and availability of data for analysis and reporting.
Key Accountabilities

DATA SYSTEMS: Establishes and maintains robust data systems that support large and complex data products, ensuring reliability and accessibility for partners.
SOLUTIONS DEVELOPMENT: Leads the development of technical products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust. .
DATA PIPELINES: Oversees and guides the design and development of data pipelines that facilitate the movement of data from various sources to internal databases.
DATA INFRASTRUCTURE: Handles the construction and optimization of data infrastructure, resolving appropriate data formats to ensure data readiness for analysis.
DATA FORMATS: Examines and settles appropriate data formats to optimize data usability and accessibility across the organization.
STAKEHOLDER MANAGEMENT: Liaises with partners to understand data needs and ensure alignment with organizational objectives.
DATA FRAMEWORKS: Champions development standards and brings forward prototypes to test new data framework concepts and architecture patterns supporting efficient data processing and analysis and promoting standard methodologies in data management.
AUTOMATED REPORTING SYSTEMS: Leads the creation and maintenance of automated reporting systems that provide timely insights and facilitate data driven decision making.
DATA MODELING: Oversees data modeling to ensure the preparation of data in databases for use in various analytics tools and to configurate and develop data pipelines to move and improve data assets.
TEAM MANAGEMENT: Manages team members to achieve the organization's goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.

Qualifications

Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.

Preferred qualiications:

Manufacturing, supply chain, industrial IoT, or operational technology experience.
Experience enabling AI, machine learning, and advanced analytics through modern data platforms.
Experience working with large-scale enterprise data ecosystems.
Experience building product-oriented engineering organizations.
Experience integrating ERP, manufacturing, historian, quality, maintenance, and operational data domains into common data models.
Experience developing data capabilities that directly support decision intelligence and AI-driven operations.
Leadership experience building and managing high-performing data engineering teams.
Experience partnering with business leaders to translate operational needs into scalable technical solutions.
Experience driving technology transformation and organizational change.

Equal Opportunity Employer, including Disability/Vet
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Skills Required

At least 6 years of relevant work experience
Manufacturing, supply chain, industrial IoT, or operational technology experience
Experience enabling AI, machine learning, and advanced analytics through modern data platforms
Experience working with large-scale enterprise data ecosystems
Experience building product-oriented engineering organizations
Experience integrating ERP, manufacturing, historian, quality, maintenance, and operational data domains into common data models
Experience developing data capabilities supporting decision intelligence and AI-driven operations
Leadership experience building and managing high-performing data engineering teams
Experience partnering with business leaders to translate operational needs into scalable technical solutions
Experience driving technology transformation and organizational change

What the Team is Saying

Cargill Compensation & Benefits Highlights

Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, mental health/EAP resources, wellness programs, and partner services like Bright Horizons and Milk Stork on the official benefits hub. Feedback suggests these offerings provide robust support for both physical and psychological well-being.
Retirement Support — Retirement programs feature immediate 401(k) eligibility with a competitive company match, plus an ESOP component and Vanguard administration, with some materials also noting an employer-funded retirement account. Feedback suggests the multi-layered savings design and clear match mechanics are notable strengths.
Leave & Time Off Breadth — PTO tiers start at 15 days and scale up to 30 days with tenure, alongside defined holidays and floating personal days. Paid family leave for bonding and caregiving further rounds out a well-structured time-off program.

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The Company

HQ: Wayzata, MN

155,000 Employees

Year Founded: 1865

What We Do

We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.

Why Work With Us

The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.