Lead Software Engineer - Customer 360 Data Application

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.

Responsibilities

• Own the solution architecture decisions for your team's product

• Lead delivery and operations of the team's product, including both individual contribution and support as well as delegated tasks and support to your team's engineers. We desire our lead engineers to be both leads and engineers, spending about half of their time on leading others and half contributing engineering work themselves.

• Lead, mentor, and assess other staff engineers, exemplifying and teaching best practices, helping to solve knotty problems, reviewing code, and sharing stories

• Onboard, and oversee external partner engineers

• Guide engineering team in adoption of Chick-fil-A data standards

• Identify & propose emerging data engineering technologies, methodologies and/or approaches

• Delegate engineering assignments & assess engineering performance

• Help provide support for the portfolio of solutions the team owns

• Understand specific business processes and requirements and translate them to functional requirements

Note - Working in a DevOps model, this opportunity includes both building and running solutions that could require off hours support. This support is sharedamongst the team members to coverweekends 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.

Minimum Qualifications

• Expert-level knowledge indesign and programmingusing Java, Golang, Python or other comparable languages

• Deep database knowledge and proficient with SQL

• Familiarity with version control systems and code merging/branching; specific experience with git desirable

• Experience with cloud-based architecture (such as AWS big data technology stack)

• Experience working with an agile development methodology featuring sprints, points estimation, and daily standups

• Advanced analytical and problem-solving skills

• Able to communicate complex problems and solutions effectively to a broad range of cross-functional teams using strong written and verbal communication skills

• Strong interpersonal skills which influence your ability to lead others

Preferred Qualifications

• Experience with all aspects of data management: data governance, data mastering, data warehousing, database management, and meta-data management.

• Experience creating enterprise data flow Diagrams, enterprise data models, enterprise Data architecture diagrams, data catalogs and data dictionaries

• Experience in data engineering and design, for both structured and unstructured data; data modeling, architecting, and delivering highly scalable and flexible, cost-effective, cloud-based enterprise data solutions.

• Familiar with developing and implementing data models for analytic use

• Deep understanding of AWS architecture

• Experience with AWS big data technology stack and cloud-based architecture

• Understanding of Apache Spark/Hadoop, relational and NoSQL databases.

• Proven skill in standardization of ETL development and execution for large-scale enterprise data sources

• Passionate about applying data strategy to achieve business outcomes

• Advanced Cloud, Data certifications or degrees in related field

• Experience with Databricks and dbt

Minimum Years of Experience

5

Travel Requirements

10%

Required Level of Education

Bachelor's degree or equivalent experience

Preferred Level of Education

Bachelor's Degree

Major/Concentration

Computer Engineering, Computer Science, or related Technical Field