Data Management Lead Engineer (Hybrid)

Atlanta, Georgia, US United States, 30340

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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 Data Management Lead Engineer will provide advanced knowledge and thought leadership to execute the architecture, design, development and implementation of new and existing data management platforms & solutions. In this role, you will advise/lead solution development and provide direction on architecture, technology and engineering practices to ensure they are secure, scalable, resilient and robust. You will also collaborate with other engineering leaders and influence important technical decisions across data management technology space, applying your broader knowledge of data management technology platforms, solutions & related engineering best practices.

Key Accountabilities

  • Bring expert technical leadership to multiple product engineering teams to resolve highly complex problems and remove road blocks to ensure a scalable and optimal design across products for end to end data management.
  • Lead solution design for our MDM platforms & products, supporting the engineering team to ensure build adheres to standards and best practices.
  • Apply outside in knowledge of industry trends, latest methodologies & technology evolution to advise best data management technology decisions, in line with specific business needs and broader company strategy.
  • Participate in the engineering community by being a coach and mentor to engineers, sharing new technical trends, modern skills & presenting coding best practices.
  • Develop technical capabilities of the data management platforms & solutions via POC’s, POV’s demonstrating the art of possible.
  • Provide expert thought leadership in your field and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor.
  • Other duties as assigned.

Qualifications

Minimum Qualifications

  • Bachelor’s degree in a related field or equivalent experience
  • Confirmed experience with agile product delivery models
  • Minimum of six years of related work experience

Preferred Qualifications

  • Participate in the engineering community by maintaining and sharing relevant technical approaches to data management and modern approaches

  • Experience collaborating & mentoring agile engineering teams on the technical direction, providing best engineering practices guidance

  • Exposure to Data Management platforms: Master Data Management, Data Quality, Enterprise Content Management

Equal Opportunity Employer, including Disability/Vet.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture Data management Data quality Engineering Industrial Research

Region: North America
Country: United States

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