Senior Data Engineer – Hybrid, Data Platform Leader

Bay Center Foods, LLC; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Chick-fil-A, Inc. is seeking a Sr. Lead Data Engineer to lead analytics infrastructure for Restaurant Development. You will design, implement, and optimize data solutions to support multiple analytics needs across the organization.

The role requires strong SQL/Python, DBT experience, and hands-on cloud data work. You will collaborate with business stakeholders and IT to deliver scalable data pipelines and governance, while championing data quality and automation.

Qualifications

• 4 years of experience in data engineering or analytics.
• Strong analytical and BI data modeling skills.
• Deep understanding of database technology.
• Experience with DBT and ETL tools.
• Proficiency in SQL and Python.
• Familiarity with AWS big data stack.
• Excellent written and verbal communication.
• Ability to work with cross-functional teams.

Responsibilities

• Translate business logic into scalable data and analytics solutions.
• Develop ETL pipelines with scalable patterns.
• Leverage cloud compute resources efficiently.
• Own data models, code quality, and documentation.
• Implement data governance and master data management.
• Perform ad-hoc analyses to support projects.
• Drive complex projects to success and enable teams.
• Maintain data pipelines and data products in use.

Skills

BI data modeling

Database tech

Analytics platform data

DBT/ETL tools

SQL

Python

AWS Big Data

Cross-functional comms

Systems thinking

Education

Bachelor's degree or equivalent experience

Master's degree (preferred)

Tools

Databricks

DBT

Tableau

Job description

Chick-fil-A, Inc. is seeking a Sr. Lead Data Engineer to lead analytics infrastructure for Restaurant Development. You will design, implement, and optimize data solutions to support multiple analytics needs across the organization.

The role requires strong SQL/Python, DBT experience, and hands-on cloud data work. You will collaborate with business stakeholders and IT to deliver scalable data pipelines and governance, while championing data quality and automation.