Lead Data Engineer, Quality

As a Lead Data Engineer, you will be responsible for leading significant project work as a part of a larger cross-functional team in support of Supply Chain. This role is essential to enabling Supply Chain Analytics by ensuring high quality of data at large scale. Lead Data Engineers work in collaboration with other Data stakeholders and contribute to strengthening the links between data quality and data catalogs, data lineage, DataOps pipelines, etc., focusing on increasing the adoption of reliable data products built by the data engineering team. They must be able to quickly develop mastery of the needed subject across the area of Supply Chain for which they are responsible.  Our Lead Data Engineers work with substantial latitude for unreviewed action on specific projects, solutions, and resolutions to technical issues.  They may represent SCDA in internal conversations 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. 

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

• 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

• 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