Sr Lead Data Engineer

hin 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.

Our Flexible Future model offers a healthy mix of working in person and remotely, 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:

• 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

Minimum Qualifications

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

• 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

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

• 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

Minimum Years of Experience

5

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Preferred Level of Education

Master's Degree

Major/Concentration

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