Sr Lead Data Engineer

Supply Chain Data Engineer As a part of the Chick-fil-A Supply Chain Data Services team, the Supply Chain Data Engineer will design and implement necessary analytics infrastructure on technically complex projects, focusing on developing solutions to data modeling and/or analytics technology needs. They must be able to quickly develop mastery of the needed subject across any line of business for which they are responsible. The role must have strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and/or Python. This role will directly support our Chick-fil-A Supply Chain data foundation, focusing on transforming data for business and analytic needs. The data engineer plays an essential role, providing the business with the visibility required to manage our complex business. The ability to collaborate well with both IT and business partners to achieve goals is also essential. This role is also responsible to educate others about the use of key data assets and help drive overall data literacy. About Chick-fil-A Supply A wholly owned subsidiary of Chick-fil-A, Inc., Chick-fil-A Supply™ is a distribution service provider focused entirely on serving the unique needs of Chick-fil-A restaurants. Due to steady, year-over-year sales and volume growth, combined with the complexity in our Restaurants, Chick-fil-A Supply supports current and future Restaurant needs through distribution innovation that extends the Chick-fil-A culture of care to those it serves, as well as those it employs. This subsidiary is in the early stages of development and is a dynamic, fast-paced work environment focused on launching this new service to Restaurants across the nation. Responsibilities Develop and execute the strategic plan for the business data engine of the future. New design should increase in scale and function to support expanding and maturing analytic needs Exhibits wide latitude in aligning business stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects Enable a modern data architecture and/or referencing the need to build data models in support of advanced analytical models and systems Develops ETL pipelines for general business consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work Develops tool, data, and analytics best practices for the SC analyst community and advising on their integration into operational practices Designs specific tool implementations, understanding both Tableau and Alteryx performance (including server) and cloud compute performance requirements and expectations Owns and is accountable for data model and code quality and any relevant documentation Monitor data quality by: Establishing concise data quality measurements Developing automated models, dashboards and workflows necessary to track data quality Researching and resolving ongoing data issues Work closely with Data Governance Lead to follow established processes Drives complex projects to success and enables others to own the impacts Helps design patterns for efficient use of cloud compute resources. Minimum Qualifications 3.2 GPA minimum Bachelor's degree in finance or a quantitative/technical discipline Strong analytical skills Attentiveness to details with the ability to understand business context Ability to learn things quickly and work independently Ability to communicate your results effectively to others Ability to manage multiple projects and deadlines simultaneously Proficiency in a data blending tool and a visualization tool Preferred Qualifications Proficiency in Data Analysis, AWS Redshift, AWS S3, SQL, Python, Alteryx, Tableau preferred. Minimum Years of Experience 5 Travel Requirements 20% Required Level of Education Bachelor's Degree Major/Concentration Finance or a quantitative/technical discipline Minimum GPA (4.0 Scale) 3.2