Sr. Lead Data Engineer, Field Insights & Technology

Chick-fil-A, Inc. • Atlanta, GA

79d • Hybrid

About The Position

As a Sr. Lead Data Engineer within the Field Insights & Technology team, you will lead and execute complex data engineering project work supporting multiple Restaurant Development analytics and reporting needs. The role designs, implements, maintains, and optimizes analytics infrastructure for technically complex projects, developing solutions to data modeling and analytics technology needs. The successful candidate develops mastery of the relevant subject area across Restaurant Development and exercises latitude in decisions on projects, solutions, and technical issues.

The role calls for strong analytical and data modeling skills, deep knowledge of database technology and analytic platform data use, and strong SQL and/or Python programming skills. The engineer must communicate effectively with both IT and departmental analysts, learn quickly, attend to detail, think systematically, design processes, and work collaboratively to create impact. Chick-fil-A’s Flexible Futures Model combines in-person work (currently a minimum of 8–10 days per month) with virtual work.

Requirements

• Strong analytical and business intelligence data modeling skills.
• Deep understanding of database technology.
• Deep understanding of data use within analytic platforms.
• Some experience with DBT and/or other ETL or data transformation tools.
• Strong programming skills in SQL and/or Python.
• Some experience using the AWS big data technology stack and console.
• Strong written and verbal communication skills for partnering with cross-functional teams.
• Systems thinking and process design skills, especially regarding scalability and automation.
• At least 4 years of experience.
• Bachelor’s degree or equivalent experience; required fields include MIS, Decision Sciences, Engineering, Business Analytics, Computer Science, or similar.

Nice To Haves

• Extensive experience with Databricks or similar ETL platforms.
• Extensive experience with DBT or similar data transformation tools.
• Moderate experience implementing data governance principles.
• Proficiency in data analysis, AWS Redshift, AWS S3, SQL, Python, and Tableau.
• Moderate experience using the AWS big data technology stack and console.
• Experience architecting data pipelining solutions and data infrastructure.
• At least 5 years of experience.
• Master’s degree.

Responsibilities

• Work with business stakeholders and IT to translate business logic into scalable data and analytics solutions.
• Develop ETL pipelines for general business consumption, using existing patterns where available and designing pipelines for scalability.
• Use cloud compute resources efficiently.
• Own and be accountable for data model and code quality and relevant documentation.
• Implement data governance and master data management principles in project work.
• Perform ad-hoc analysis as needed to support project work.
• Drive complex projects to success and enable others to own the impact.
• Maintain and perform quality control on data pipelines or data products built by the engineer that are actively in use.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior