Sr. Lead Data Engineer, Media and Customer Data

Overview

As a Sr. Lead Data Engineer, you will be responsible for leading complex work with high visibility in support of Customer & Market Insights (CMI), specifically the Media & Measurement team. This work will support the strategic partnerships that Chick-fil-A has with media partners that provide or require data, as well as internal business performance measurement. 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.

This role will interface with internal stakeholders and media partners to translate business and operational needs and requirements into efficient and optimized ETL processes that scale. This role will need to quickly develop mastery of internal data and the data available from media partners that can be used by CMI to inform and power decision making within the Brand Strategy, Advertising, and Media team.

Our Sr. Lead Data Engineers typically work with wide latitude for action or decisions on projects that are more complex or cross-functional in nature. They act as a subject-matter-expert and resource on data and/or analytics technology issues. This role may represent CMI in external conversations, particularly with media partners. They may also assist with the selection or oversight of outside vendor partners. They are expected to influence project execution with IT and CMI teams.

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 Python. Experience with Databricks, Spark, and/or DBT ideal. We expect our Sr. Lead Data Engineers to have demonstrated fluency and competency in both the technology language of IT and the analyst language of departmental analysts. They should have experience developing and implementing data models for analytic use and a moderate level of experience with cloud database architecture. 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. Additionally, this role will work in concert with other CMI Data Engineers and with Data Engineers in our Enterprise Data & Analytics function.

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

• Exhibits wide latitude in aligning business stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.
• Develops ETL pipelines for general business consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.
• Develops tools, data, and analytics best practices for the CMI analyst community on their integration into operational practices.
• Designs specific tool implementations, understanding both data visualization, ETL, and cloud compute performance requirements and expectations.
• Helps design patterns for efficient use of cloud compute resources.
• 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.
• Act as a subject-matter-expert and resource on data and/or analytics technology issues for the CMI team.
• Drives complex projects to success and enables others to own the impact.

Minimum Qualifications

• Bachelor's Degree in MIS, Decision Sciences, Engineering, Analytics, Computer Science or other similar fields
• 5-7 years work experience
• Has strong analytical and data modeling skills
• Has a deep understanding of database technology
• Has a deep understanding of analytic platform data use
• Has strong programming skills in SQL and Python
• Has experience developing and implementing data models for analytic use
• Has moderate experience with cloud database architecture
• Has some experience with Databricks, DBT, and/or other ETL/data transformation tools
• Fast learner and proven problem solver
• 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
• Keen eye for detail and thoughtful investigation of data
• Has a steadfast focus on creating impactful change

Preferred Qualifications

• Master's Degree in MIS, Decision Sciences, Engineering, Analytics, Computer Science or other similar fields
• 8-10 years work experience
• Has some experience using the AWS big data technology stack
• 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

Minimum Years of Experience

5

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Preferred Level of Education

Masters Degree

Major/Concentration

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