Lead Data Software Engineer - Customer 360 Data

Overview :

Chick-fil-A is looking for a Lead Data Software Engineer that will serve as the leader to a strong team of data engineers responsible for the data development, 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.

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 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.

Minimum Qualifications :

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

Expert-level knowledge in design and programming using Java, Golang, Python or other comparable languages

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

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.

Deep database knowledge and proficient with SQL

Experience with the agile development methodology.

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

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

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

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

Experience with Databricks and dbt

Minimum Years of Experience :

Travel Requirements :

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