Principal, Data Engineering

<div class="description"> <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: 10px 0px;border: 1px solid transparent;"> <div style="font-size:16px;word-wrap: break-word;"><h2 style="font-size: 1em; margin: 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 data-ccp-parastyle="heading 3">leads</span><span data-ccp-parastyle="heading 3"> the development of efficient processing and availability of data for analysis and reporting.</span><span data-ccp-props="{"><strong></strong></span></p> <p></p> </div> </div> <div style="padding: 10px 0px;border: 1px solid transparent;"> <div style="font-size:16px;word-wrap: break-word;"><h2 style="font-size: 1em; margin: 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 data-ccp-props="{"></span> </li> <li> <span xml:lang="EN-US" data-contrast="auto">DATA INFRASTRUCTURE: Influences the construction and optimization of data infrastructure, providing appropriate data formats to ensure data readiness for analysis.</span><span data-ccp-props="{"></span> </li> <li> <span xml:lang="EN-US" data-contrast="auto">DATA FORMATS: Examines and sees improvement opportunities for appropriate data formats to optimize data usability and accessibility across the organization.</span><span data-ccp-props="{"></span> </li> <li> <span xml:lang="EN-US" data-contrast="auto">STAKEHOLDER MANAGEMENT: Cultivates positive relationships and partners to understand data needs and encourage alignment with organizational objectives.</span><span data-ccp-props="{"></span> </li> <li> <span xml:lang="EN-US" data-contrast="auto">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 data-ccp-props="{"></span> </li> <li> <span xml:lang="EN-US" data-contrast="auto">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 data-ccp-props="{"></span> </li> <li> <span xml:lang="EN-US" data-contrast="auto">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 data-ccp-props="{"></span> </li> <li> <span xml:lang="EN-US" data-contrast="auto">AUTOMATED REPORTING SYSTEMS: Builds automated reporting systems that provide timely insights and facilitate data driven decision making.</span><span data-ccp-props="{"></span> </li> <li> <span xml:lang="EN-US" data-contrast="auto">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 data-ccp-props="{"></span> </li> </ul></div> </div> <div style="padding: 10px 0px;border: 1px solid transparent;"> <div style="font-size:16px;word-wrap: break-word;"><h2 style="font-size: 1em; margin: 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 data-ccp-props="{}"></span> </li></ul> <p></p> <p>Preferred Qualifications:</p> <ul><li> <span xml:lang="EN-US" data-contrast="auto">ARCHITECTURAL LEADERSHIP: Defines long-term technical direction, establishes best practices, and ensures solutions are scalable, maintainable, and aligned with enterprise strategy.</span><span data-ccp-props="{"></span> </li></ul> <ul><li> <span xml:lang="EN-US" data-contrast="auto">OPERATIONAL EXCELLENCE MINDSET: Champions reliability, observability, and performance, ensuring data systems meet high standards for availability and quality.</span><span data-ccp-props="{"></span> </li></ul> <ul><li> <span xml:lang="EN-US" data-contrast="auto">STRATEGIC DECISION MAKING: Evaluates competing priorities such as speed, cost, risk, and flexibility to make sound technical and architectural decisions.</span><span data-ccp-props="{"></span> </li></ul> <ul><li> <span xml:lang="EN-US" data-contrast="auto">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 data-ccp-props="{"></span> </li></ul> <ul><li> <span xml:lang="EN-US" data-contrast="auto">DATA INGESTION: Demonstrated proficiency in data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet)</span><span data-ccp-props="{"></span> </li></ul> <ul><li> <span xml:lang="EN-US" data-contrast="auto">DATA STREAMING: Experience developing data pipelines with streaming architectures and tools (Kafka, Flink).</span><span data-ccp-props="{"></span> </li></ul> <ul><li> <span xml:lang="EN-US" data-contrast="auto">DATA TRANSFORMATION: Strong background with using Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI.</span><span data-ccp-props="{"></span> </li></ul> <ul><li> <span xml:lang="EN-US" data-contrast="auto">DEVOPS: Extensive experience in DevOps practices, including code management, CI/CD, and deployment strategies.</span><span data-ccp-props="{"></span> </li></ul> <p></p> <p><span data-ccp-props="{">This role is located in our Atlanta, GA office. <span data-teams="true">The business will not sponsor applicants for work visas for this position.</span></span></p> <p role="heading" aria-level="3">#LI_NS7</p> <p role="heading" aria-level="3"><span style="color: white;">#Standard</span></p> </div> </div> </div> <p>Equal Opportunity Employer, including Disability/Vet.</p> <br><br>To apply using chat/text, please click Apply Now button OR use <a href="https://career2.successfactors.eu/sfcareer/jobreqcareer?jobId=325495&company=cargill&locale=en_US">this link</a> to create a login to apply.</div> <div class="job-date job-info"> </div>