Sr. Software Engineer – Data and Analytics

Overview

We are seeking a highly skilled and motivated Senior Software Engineer to join our Data & Analytics DevOps team.  This team creates and supports big data solutions across Chick-fil-A’s Distribution, Manufacturing, and Production businesses, continuously innovating and optimizing through technology to meet the needs of a growing business. The Data and Analytics DevOps team is a small, agile team where engineers can make impactful contributions in a fast-paced environment, solving large-scale data problems using cloud-based technologies.

In this role, you will work at the intersection of software engineering and data modeling, driving the development, optimization, and scalability of our data systems and processes. You will collaborate closely with our reporting and visualization team to deliver high-performing, optimized data models and ensure data sets are readily available for business intelligence and decision-making.

As a key member of the team, you will contribute to the full lifecycle of our data infrastructure, including ETL/ELT pipelines, data warehouse management in AWS, data modeling, and performance optimization. This role offers the opportunity to shape the future of our data ecosystem and deliver significant business value. 

About Chick-fil-A Supply and Bay Center Foods 

As wholly owned subsidiaries of Chick-fil-A, Inc., Chick-fil-A Supply and Bay Center Foods are food production and distribution services networks focused entirely on serving the unique needs and growing volume of Chick-fil-A restaurants. 

The Chick-fil-A Supply and Bay Center Foods service networks are comprised of three components: 

·       Distribution Center – State-of-the-art warehouses that house supply for Chick-fil-A restaurants 

·       Production Distribution Center – Offsite facilities that prepare select ingredients and menu items for Chick-fil-A restaurants 

·       Transportation – Growing fleet of delivery vehicles that supply Chick-fil-A restaurants 

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and preparing data from multiple sources
• Manage and optimize our data warehouse in AWS, ensuring reliability, scalability, and cost-efficiency
• Develop and maintain data models that support robust business intelligence and analytics, with a focus on performance and usability
• Partner with the reporting and visualization team to align on data requirements, optimize data sets for reporting tools, and enhance the user experience of dashboards and reports
• Drive automation and best practices in data processing, deployment, and monitoring as part of DevOps principles
• Collaborate with stakeholders to understand data needs, troubleshoot issues, and deliver high-quality solutions that meet business goals
• Ensure data quality, governance, and compliance with organizational and regulatory standards
• Evaluate and recommend new tools, technologies, and processes to improve the data platform and workflows
• Leverage agile project management tools and methods to impact the team through system enhancements with a focus on small, frequent releases and continuous improvement

Note: Working in a DevOps model, this opportunity includes both building and running solutions that could require off hours support. This support is shared amongst the team members to cover weekends and weeknights.  The goal is to design for failure and automate responses to possible issues so they can be worked during normal hours. 

Minimum Qualifications

• Bachelor’s Degree or the equivalent combination of education, training and experience from which comparable skills can be acquired

• 5+ years of experience using Python are your primary language

• Proven experience with ETL/ELT development and tools in an AWS environment such as AWS Glue, Apache Airflow, dbt, or similar

• Strong expertise in data warehouse management, specifically in AWS (Redshift, DataBricks, or similar)

• Proficiency in SQL and query optimization for large-scale data sets

• Hands-on experience with data modeling and performance tuning for analytics

• Experience working in an agile software development environment

• Excellent verbal and written communication

• Excellent problem-solving and troubleshooting skills, with the ability to bring clarity to complex data challenges.

• Strong collaboration and communication skills, with a history of working closely with data analysts, engineers, and business stakeholders

• Demonstrated ability to value both relationships and resultsNavigate challenging situations, ensuring all parties are treated with honor, dignity, and respect

Preferred Qualifications

• Deep understanding of AWS  technologies, architecture, and security best practices
• Experience working with Apache Airflow, Redshift, DBT, and/or Databricks
• Experience with monitoring and alerting technologies
• Knowledge of reporting and visualization tools, like tableau, with an understanding of their performance optimization needs
• Experience implementing or working within a DevOps culture for data engineering teams
• Understanding of data governance frameworks, security, and compliance standards

Minimum Years of Experience

Travel Requirements

Required Level of Education

Preferred Level of Education

Major/Concentration