Chick-fil-A is looking for a Lead Software Engineer - Customer 360 Data Application that will serve as the leader to a strong team of Software Engineers responsible for the application development, data management and support of Chick-fil-A's Customer 360 data systems.
Chick-fil-A is in the process of enhancing its data infrastructure, processes, data governance and management with a goal to care for our customers personally. Chick-fil-A has experienced tremendous growth in our digital customer engagement through Chick-fil-A App ordering and in-restaurant scans over the past several years. A significant portion of Chick-fil-A's sales now include digital engagement.
This role will be responsible for stewarding the organization’s customer data into a single source of truth that’s both searchable and accessible. The role is a strategic leader with the ability to mentor, collaborate, and build rapport with other data & analytics teams and business partners to effectively influence organizational data strategy and decisions.
The position requires a critical thinker, a problem solver, and a decisive leader. We are looking for a thoughtful data engineer who values and takes pride in maintainable and extensible software. We need someone with a strong background in data engineering, a deep understanding of big data technologies, and a proven track record of leading data engineering teams. This role will involve designing, developing, and maintaining our data infrastructure, ensuring optimal performance and scalability. You will not be responsible for HR management of your team, which will allow you to be able to oversee the technical aspects of your team’s growth and delivery while also contributing individually.
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.
Note - Working in a DevOps model, this opportunity includes both building and running solutions that could require off hours support. This support is shared amongst the team members to cover weekends and weeknights. The goal is to design for failure and, using cloud-native infrastructure patterns, automate responses to possible issues so they can be worked during normal hours.