About this role
<p>Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. <br>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.</p><div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Job Summary</H2> </div><div><p>The Principal, Data Engineering job provides thought leadership in the execution of strategic plans related to design, development and maintenance of robust data systems. As a recognized subject matter expert in the field, this job <span>leads</span><span> the development of efficient processing and availability of data for analysis and reporting.</span><span><strong> </strong></span></p> <p> </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Essential Functions</H2> </div><div><ul> <li>DATA PIPELINES: Provides thought leadership on the design and development of data pipelines that facilitate the movement of data from various sources to internal databases.<span> </span></li> <li><span>DATA INFRASTRUCTURE: Influences the construction and optimization of data infrastructure, providing appropriate data formats to ensure data readiness for analysis.</span><span> </span></li> <li><span>DATA FORMATS: Examines and sees improvement opportunities for appropriate data formats to optimize data usability and accessibility across the organization.</span><span> </span></li> <li><span>STAKEHOLDER MANAGEMENT: Cultivates positive relationships and partners to understand data needs and encourage alignment with organizational objectives.</span><span> </span></li> <li><span>DATA SYSTEMS: Develops and guides the implementation of data products and solutions using advanced engineering and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable, and robust.</span><span> </span></li> <li><span>SOLUTIONS DEVELOPMENT: Leads efforts to improve the development of technical products and solutions driving big data and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable, and robust.</span><span> </span></li> <li><span>DATA FRAMEWORKS: Drives 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.</span><span> </span></li> <li><span>AUTOMATED REPORTING SYSTEMS: Builds automated reporting systems that provide timely insights and facilitate data driven decision making.</span><span> </span></li> <li><span>DATA MODELING: Provides thought leadership on data modeling and preparation of data in databases for use in various analytics tools and to develop data pipelines to move and improve data assets. </span><span> </span></li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Qualifications</H2> </div><div><ul> <li>Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.<span> </span></li> </ul> <p> </p> <p>Preferred Qualifications:</p> <ul> <li><span>ARCHITECTURAL LEADERSHIP: Defines long-term technical direction, establishes best practices, and ensures solutions are scalable, maintainable, and aligned with enterprise strategy.</span><span> </span></li> </ul> <ul> <li><span>OPERATIONAL EXCELLENCE MINDSET: Champions reliability, observability, and performance, ensuring data systems meet high standards for availability and quality.</span><span> </span></li> </ul> <ul> <li><span>STRATEGIC DECISION MAKING: Evaluates competing priorities such as speed, cost, risk, and flexibility to make sound technical and architectural decisions.</span><span> </span></li> </ul> <ul> <li><span>CLOUD DATA PLATFORMS: deep expertise implementing cloud-based data warehouses, data lakes, and open table formats in large-scale production environments. Has hands-on experience with technologies such as Snowflake, AWS, and open lake house ecosystems.</span><span> </span></li> </ul> <ul> <li><span>DATA INGESTION: Demonstrated proficiency in data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet)</span><span> </span></li> </ul> <ul> <li><span>DATA STREAMING: Experience developing data pipelines with streaming architectures and tools (Kafka, Flink).</span><span> </span></li> </ul> <ul> <li><span>DATA TRANSFORMATION: Strong background with using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI.</span><span> </span></li> </ul> <ul> <li><span>DEVOPS: Extensive experience in DevOps practices, including code management, CI/CD, and deployment strategies.</span><span> </span></li> </ul> <p> </p> <p><span>This role is located in our Atlanta, GA office. <span>The business will not sponsor applicants for work visas for this position.</span></span></p> <p>#LI_NS7</p> <p><span style="color:white">#Standard</span></p></div></div></div><p>Equal Opportunity Employer, including Disability/Vet.</p>