Sr. Lead Data Engineer, Field Insights & Technology

Chick-fil-A Corporate Support Center

Atlanta (GA)

Hybrid

USD 120,000 - 180,000

Full time

38 hours ago
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Job summary

Chick-fil-A Corporate Support Center in Atlanta is seeking a Sr. Lead Data Engineer to lead complex data engineering projects supporting Restaurant Development analytics.

You will design, implement, and optimize analytics infrastructure with strong SQL and Python skills, leveraging DBT and the AWS stack to deliver scalable data solutions. Success requires fluency in data modeling, deep database knowledge, and the ability to partner with cross-functional teams.

Qualifications

  • Strong analytical and BI data modeling skills.
  • Deep understanding of database technology and analytic platform data use.
  • Experience with DBT and ETL/data transformation tools.
  • Proficient in SQL and Python; capable of cross-functional collaboration.

Responsibilities

  • Translate business logic into scalable data and analytic solutions.
  • Develop ETL pipelines with scalability in mind and leverage cloud compute resources.
  • Own data model and code quality, including documentation.
  • Implement data governance and master data management.
  • Lead complex projects and enable others to implement impact.

Skills

BI data modeling
Database technology
Analytics platform data
DBT/ETL tools
SQL
Python
AWS Big Data
Cross-functional communication
System thinking

Education

Bachelor's degree or equivalent

Tools

Databricks
DBT
AWS stack
Tableau

Job description

How We Work At Chick-fil-A

Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.

Our Flexible Futures Model offers a healthy mix of working in person (currently a minimum of 8-10 days per month) and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

Overview

As a Sr. Lead Data Engineer within the Field Insights & Technology team, you will be responsible for leading and executing complex data engineering project work in support of multiple Restaurant Development analytics and reporting needs. Sr. Lead Data Engineers typically design, implement, maintain, and optimize 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 Restaurant Development for which they are responsible.

Our Sr. Lead Data Engineers typically work with some latitude for action or decisions on specific projects, solutions, or technical issues. Successful candidates for this 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. We expect Sr. Lead Data Engineers to have the capacity for fluency and competency in both the technology language of IT and the analyst language of departmental analysts. They will need to be fast learners with a keen eye for detail, systems thinking, and process design. They must be team players who work steadfastly to create impactful change.

Responsibilities
  • The person who fills this role will be expected to do the following as a part of their regular work responsibilities:
  • Works with business stakeholders and IT to translate business logic into scalable data and analytic solutions.
  • Develops ETL pipelines for general business consumption, typically leveraging existing patterns as available for specific project execution and building pipelines with scalability in mind.
  • Leverages cloud compute resources efficiently.
  • Owns and is accountable for data model and code quality and any relevant documentation.
  • Implements data governance and master data management principles across specific project execution.
  • Performs ad-hoc analysis as necessary to support specific project work.
  • Drives complex projects to success and enables others to own the impact
  • Manages any needed maintenance and quality control on data pipelines or data products they have built which are actively in use
Required Qualifications (Knowledge, Skills, & Abilities)
  • Has strong analytical and BI data modeling skills
  • Has a deep understanding of database technology
  • Has a deep understanding of analytic platform data use
  • Has some experience with DBT and/or other ETL/data transformation tools
  • Strong programming skills in SQL and/or Python
  • Has some experience using the AWS big data technology stack and console
  • Has the skill to partner with cross-functional teams using strong written and verbal communication
  • Keen eye for system thinking and process design, especially with respect to scalability and automation
Preferred Qualifications (Knowledge, Skills, & Abilities)
  • Has extensive experience with Databricks or similar ETL platforms
  • Has extensive experience with DBT or similar data transformation tools
  • Has moderate experience implementing data governance principles
  • Proficiency in Data Analysis, AWS Redshift, AWS S3, SQL, Python, Tableau preferred
  • Has moderate experience using the AWS big data technology stack and console
  • Has experience architecting data pipelining solutions and data infrastructure
Required Years Of Experience

4

Preferred Years Of Experience

5

Travel Requirements

10%

Required Level Of Education

Bachelor's degree or equivalent experience

Preferred Level Of Education

Master's Degree

Required Major/Concentration

MIS, Decision Sciences, Engineering, Business Analytics, Computer Science, or other similar fields

Relocation Assistance Provided

No

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