Director, Data Engineering

Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. 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 alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

The Director, Data Engineering job leads a data engineering team responsible for the execution of the tactical and strategic plans related to design, development and maintenance of robust data pipelines and solutions. This job provides guidance to the team that ensures the efficient processing and availability of data for analysis and reporting.

Essential Functions

• Establishes and maintains robust data systems that support large and complex data products, ensuring reliability and accessibility for partners.

• 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.

• Oversees and guides the design and development of data pipelines that facilitate the movement of data from various sources to internal databases.

• Handles the construction and optimization of data infrastructure, resolving appropriate data formats to ensure data readiness for analysis.

• Examines and settles appropriate data formats to optimize data usability and accessibility across the organization.

• Liaises with partners to understand data needs and ensure alignment with organizational objectives.

• 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.

• Leads the creation and maintenance of automated reporting systems that provide timely insights and facilitate data driven decision making.

• 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.

• 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.

Minimum and Typical Years of Work Experience

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

Preferred Work Experience

• Prior experience as a data/ software engineer performing data modeling and data pipeline engineering leveraging advanced cloud technologies and diverse coding languages

• Leading geographically distributed engineering teams across a large global organization

• Developing and managing strategic partnerships across both digital and business facing stakeholders

• Track record of leading architecture strategies and execution across a diverse digital and data technology landscape

• Experience developing and leading transformation strategies regarding to people, process, and technology

• Thorough understanding of industry trends and best practices related to data engineering of robust, performant, and cost effective solutions

• Proven record helping drive the adoption of new technologies and methods within the functional data and analytics team and be a role model and mentor for data engineers.

Equal Opportunity Employer, including Disability/Vet.