Lead Data Engineer, Quality

and may assist with the selection or oversight of outside vendor partners. Successful candidates for this role must have strong analytical and data modeling skills, a solid understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and/or Python. We expect Lead Data Engineers to have the capacity for fluency and competency in both the technology language of IT and the analyst language of Supply Chain 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. This is a professional track role.

Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

Responsibilities

The person who fills this role will be expected to do the following as a part of their regular work responsibilities:

• This role will collaborate with multi-functional teams such as the data engineering, data science and insights analysts to test, validate and monitor data platforms and the data flowing through them

• Develops Data quality checks to build reliability into the data pipeline, typically leveraging existing patterns as available for specific project with scalability in mind

• Implements tool, data, and analytics best practices for specific project execution and advises SCDA on such best practices

• Leverages cloud compute resources efficiently

• Owns and is accountable for overall data quality assurance process 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 projects to success and enables others to own the impact

Minimum Qualifications

• Has strong analytical and data modeling skills

• Has a solid understanding of database technology

• Has a solid understanding of analytic platform data use

• Has strong programming skills in SQL and/or Python

• Has the skill to partner with cross-functional teams using strong written and verbal communication

• Fast learner and proven problem solver

• Keen eye for system thinking and process design, especially with respect to scalability and automation

• Has a steadfast focus on creating impactful change

• Bachelor's Degree in MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields

Preferred Qualifications

• Master's Degree in MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields

• Has some experience using the AWS big data technology stack

• Has moderate experience with Databricks, dbt, Alteryx or similar ETL platforms

• Has moderate experience with Tableau or similar data visualization tools

• Has some experience implementing data governance principles

Minimum Years of Experience

3

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Preferred Level of Education

Master's Degree