Sr. Lead Data Engineer

Overview

The Solutions Lab Senior Lead Data Engineer is a professional role focused on supporting the strategy, development, and execution of the Financial Services data and analytics infrastructure.  The engineer will be responsible for gaining a solid understanding of the data within the financial subject areas assigned.  

 

The Solutions Lab Senior Lead Data Engineer will work closely with Financial Services data owners, business stewards, and technical stewards to ensure that Financial Services data remains decision ready for Financial Services staff through resilient automated pipelines and systems.  When data irregularities occur and cannot be resolved through automated means, the engineer is the point of contact for issue resolution. 

 

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. The role requires a skilled problem-solver who is well-versed in applying advanced technology tools and processes to a wide range of financial business activities.  To achieve our shared data objectives the candidate must create customer focused partnerships with internal and external stakeholders across Chick-fil-A.

 

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

• Works with business stakeholders and IT to translate business logic into scalable data and analytic solutions
• The Financial Services Data Engineers work as a centralized, but dedicated team. The lead data engineer will primarily support a specific Financial Services team directly but will also support other teams as needed
• Works with business stakeholders to ensure Financial data is decision ready and reliably meets quality standards defined by stakeholders throughout the data lifecycle
• Develops ETL pipelines, typically leveraging existing patterns as available for specific project execution
• Identifies scalable approaches for resolving data quality or consistency issues
• Works with various Financial Services stakeholders to understand, document, and scope process improvements needed for new and existing financial data pipelines
• Maintains a solid understanding of the Chick-fil-A suite of data enginnering tools (dbt, AWS, Apache Airflow, Databricks, Alteryx, API’s)
• Leads implementation of new capabilities, processes, and technical patterns within Financial Services
• Leads and is responsible for multiple data projects across Financial Services
• Works with IT and Enterprise Analytics to develop data models to enable data science and analytical requests from Financial Services staff
• Owns and is accountable for data model and code quality as well as relevant documentation
• Learns and maintains business context of the Financial Services team they are supporting through data

Minimum Qualifications

• Strong analytical and data modeling skills
• Solid understanding of database technology
• Strong skills in SQL and Python
• Experience using GitHub or similar code repository
• Fast learner and proven problem solver
• Excellent oral and written communication skills
• Business-results and customer-focused orientation. Seeks to understand business needs and works to anticipate, identify, and meet end-user needs

Preferred Qualifications

• Experience using the AWS big data technology stack, e.g., AWS S3, Redshift
• Experience in Apache Airflow
• Experience using data visualization tools
• Experience implementing data governance principles
• Experience with Oracle (ERP) Financial modules
• Experience with dbt
• Experience with Databricks

Minimum Years of Experience

3

Travel Requirements

10%

Required Level of Education

Bachelor's Degree

Preferred Level of Education

Masters Degree

Major/Concentration

Finance and/or Accounting, MIS, Decision Sciences, Engineering, or related field