<div>From the people at Chick-fil-A Supply who load ingredients for restaurants to the Team Members who serve the food to our customers, every single person on the Chick-fil-A team has a special role to play in powering the business.<br /><br /></div><div><strong>Work in the people business<br /></strong><br /></div><div>A people-first company, Chick-fil-A, Inc. and our franchisee Operators are dedicated to creating a positive workplace at the corporate headquarters and in Chick-fil-A® Restaurants.</div>

<h3>Job Description</h3><p>Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.</p><p>Our Flexible Futures Model offers a healthy mix of working in person (currently a minimum of 8-10 days per month) and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.</p><h3>Overview</h3><p>The Professional/Individual Contributor Staff member is responsible for performing work responsibilities, building relationships, and sharing expertise and experience as he/she contributes to specific bodies of work, builds connections, and optimizes performance.</p><p>As a Senior Lead Data Engineer, you will be responsible for leading complex project work as a part of a larger cross-functional team in support of Supply Chain. Sr. Lead Data Engineers typically design, implement, maintain, and optimize necessary analytics infrastructure on technically complex projects, focusing on developing solutions to data modeling and/or analytics technology needs. You must have a general understanding of Supply Chain operations and be able to quickly develop mastery of the needed subject area across Supply Chain.</p><p>Our Senior Lead Data Engineers work with wide latitude for action or decisions on projects that are more complex and cross-functional in nature. They serve as technical anchors within one or more product areas or platform capabilities, applying advanced knowledge to outcomes of complexity and providing technical leadership and consultation to peer engineers on the design patterns, modeling standards, and testing frameworks that keep data products consistent, scalable, and aligned to enterprise standards. They act as a subject-matter expert and resource on data and/or analytics technology, and they may represent SCDA in external conversations. They also assist with the selection or oversight of outside vendor partners. They are expected to influence the project execution of IT and analyst teams. Successful candidates for this role must have strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and Python.</p><p>We expect our Senior Lead Data Engineers to have demonstrated fluency in both the technology language of IT and the analyst language of Supply Chain. They bring deep experience developing and implementing data models for analytic use and strong proficiency with cloud database architecture. They apply seasoned judgment to ambiguous, multi-source data problems, balancing performance, cost, and maintainability, and they work steadfastly with cross-functional partners to create impactful change.</p><h3>Responsibilities</h3><ul><li>Exhibits wide latitude in aligning Supply Chain stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.</li><li>Develops ETL pipelines for Supply Chain consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.</li><li>Develops tool, data, and analytics best practices for SCDA and advises on their integration into operational practices.</li><li>Designs specific tool implementations, understanding Databricks, DBT, and cloud compute performance requirements and expectations.</li><li>Helps design patterns for efficient use of cloud compute resources.</li><li>Drives architecture decisions and establishes the technical approach for the product area, balancing performance, cost, and maintainability on ambiguous, multi-source data problems.</li><li>Defines design patterns, modeling standards, and testing frameworks for the product area, and leads design reviews to guide engineering work across the team.</li><li>Provides technical direction and mentorship to peer engineers, building capability across the product area without requiring managerial oversight.</li><li>Owns and is accountable for data model and code quality and any relevant documentation.</li><li>Acts as a technical anchor for one or more product areas or platform capabilities, owning end.</li><li>Implements data governance and master data management principles across specific project execution.</li><li>Acts as a subject matter expert and resource on data and/or analytics technology issues for the larger SCDA community.</li><li>Drives complex projects to success and enables others to own the impact.</li><li>Manages any needed maintenance and quality control on data pipelines or data products they have built which are actively in use.</li></ul><h3>Required Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has strong analytical and data modeling skills</li><li>Has a deep understanding of cloud database technology</li><li>Has a deep understanding of analytic platform data use</li><li>Has strong programming skills in SQL and Python</li><li>Has experience developing and implementing data models for analytic use</li><li>Has moderate experience with cloud database architecture</li><li>Has the skill to partner with cross-functional teams using strong written and verbal communication</li><li>Fast learner and proven problem solver</li><li>Keen eye for system thinking and process design, especially with respect to scalability and automation</li><li>Keen eye for detail and thoughtful investigation of data</li><li>Has a steadfast focus on creating impactful change</li></ul><h3>Preferred Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has some experience using the AWS big data technology stack</li><li>Has extensive experience with Databricks, dbt, Snowflake, or similar distributed platforms</li><li>Has extensive experience with Tableau or similar data visualization tools</li><li>Has some experience implementing data governance principles</li><li>Has experience defining engineering standards, design patterns, or leading design reviews for peer engineers within a product area or discipline</li></ul><h3>Required Years of Experience</h3><p>5</p><h3>Preferred Years of Experience</h3><p>10</p><h3>Travel Requirements</h3><p>10%</p><h3>Required Level of Education</h3><p>Bachelor's Degree</p><h3>Preferred Level of Education</h3><p>Master's Degree</p><h3>Required Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Preferred Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Relocation Assistance Provided</h3><p>No</p>

Sr. Lead Data Engineer

<div><strong>Overview<br></strong><br></div><div>The Embedded Intelligence Principal Solutions Architect will be a key technical leader within our newly formed Capability Development &amp; Support team, focusing on designing and architecting innovative AI and automation&nbsp; capabilities for business applications that leverage artificial intelligence, intelligent automation, data platforms, analytics and any other technologies which comprise the Embedded Intelligence technology stack. &nbsp; This position requires a versatile technical professional who can develop architectural frameworks, evaluate emerging technologies, and create scalable proof-of-concepts and design practical solutions to enable embedded intelligence in business solutions. The role involves collaborating with business stakeholders to translate needs into comprehensive technical solutions while ensuring alignment with enterprise standards and integration with existing systems.&nbsp;<br>&nbsp;<br>This role offers a unique opportunity for technologists who enjoy defining the architectural vision for cutting-edge AI capabilities. You'll have the freedom to explore diverse technologies and approaches while building the foundational frameworks that will power intelligent automation across the organization. The role combines architectural leadership with hands-on technical guidance, allowing you to shape how emerging technologies are deployed throughout the organization. For candidates who thrive on designing innovative systems and translating complex technologies into practical business applications, this role provides exceptional growth potential and the satisfaction of seeing your architectural vision drive organizational transformation.&nbsp;</div><div>&nbsp;</div><div>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.</div><div><strong><br>Responsibilities<br></strong><br></div><ul><li>Design and architect core AI capability frameworks including AI Ops, Model Context Protocol (MCP), Agent2Agent Protocol (A2A), Agent Registry, RAG (Retrieval-Augmented Generation) systems, and intelligent search capabilities&nbsp;</li><li>Develop comprehensive technical architectures for machine learning, computer vision, digital twin, and embedded intelligence applications with consideration for enterprise integration&nbsp;</li><li>Evaluate and recommend AI/ML technologies including large language models, computer vision tools, and intelligent automation platforms&nbsp;</li><li>Establish observability and evaluation frameworks for AI applications, including performance monitoring, quality assessment, and continuous improvement processes&nbsp;</li><li>Create architectural blueprints that ensure scalability, maintainability, security, and integration with existing enterprise systems&nbsp;</li><li>Design permissioning and security frameworks for AI applications, including OAuth/Okta integration and row-level security (RLS) implementations</li><li>Create cloud-native, containerized solutions using Kubernetes, CI/CD pipelines, and modern DevOps practices to enable rapid prototyping and scalable deployment &nbsp;</li><li>Collaborate with business units to understand needs and translate them into technical requirements and capability specifications&nbsp;</li><li>Work with the R&amp;D leader to align solutions with the broader embedded intelligence ecosystem and technology strategy&nbsp;</li><li>Partner with Technical Delivery teams to facilitate transition of successful prototypes and frameworks to production environments&nbsp;</li><li>Document architectural approaches, patterns, and implementation guidelines using tools like C4 diagrams or other architectural modeling techniques&nbsp;</li><li>Create reusable architectural components and patterns that accelerate future AI capability development&nbsp;</li><li>Stay current with emerging AI/ML trends including advances in generative AI, computer vision, intelligent automation, and AI-assisted development tools&nbsp;</li><li>Provide technical mentorship and architectural guidance across the organization&nbsp;</li><li>Ensure solutions follow appropriate governance standards and best practices for AI ethics and responsible deployment</li></ul><div><strong><br>Minimum Qualifications<br></strong><br></div><ul><li>Bachelor's degree or equivalent experience</li><li>6+ years of experience in software engineering, solution architecture, or related technical roles with focus on AI/ML systems</li><li>Strong programming skills in multiple languages (e.g., Python, Go, TypeScript/JavaScript)</li><li>Hands-on experience with DevOps practices including Kubernetes, CI/CD pipelines, containerization, and orchestration technologies</li><li>Experience with cloud platforms (AWS, Azure, GCP) and cloud-native infrastructure patterns</li><li>Experience with AI-assisted development tools and modern development workflows</li><li>Understanding of software architecture principles, microservices, and API design patterns</li><li>Demonstrated experience in solution architecture for AI/ML applications or systems design</li><li>Experience designing and implementing technical solutions across multiple domains</li><li>Significant experience in complex software engineering design and delivery at scale</li><li>Experience with TDD, CI/CD, agile, Kanban, or similar software development practices</li><li>Strong analytical and problem-solving skills with ability to architect complex AI systems</li><li>System thinking and architectural planning capabilities for scalable AI infrastructure</li><li>Clear communication skills with ability to explain complex AI/ML concepts to diverse audiences</li><li>Self-directed with ability to work with minimal supervision in R&amp;D environment</li><li>Collaborative approach with strong teamwork orientation and mentoring capabilities</li><li>Comfort with ambiguity and rapidly changing AI technology landscape<br>Intellectual curiosity and passion for emerging AI/ML technologies and development tools</li><li>Ability to balance technical exploration with practical implementation and enterprise integration</li><li>Creative thinking and innovative approach to AI capability development</li><li>Experience evaluating AI/ML technology vendors and open-source solutions</li><li>Strong collaboration mindset to gather input from diverse stakeholders for AI strategy development</li><li>Excellent written and verbal communication skills, including technical documentation and team facilitation</li><li>Ability to prioritize multiple competing R&amp;D demands and capability development initiatives</li><li>Demonstrated learning agility for rapidly evolving AI/ML technologies and practices</li><li>Proven ability to positively influence engineering culture around AI development practices</li><li>Ability to lead others by influence</li></ul><div><strong><br>Preferred Qualifications<br></strong><br></div><ul><li>Bachelor's degree</li><li>Experience with AI/ML evaluation and monitoring tools (e.g., LangFuse, Arize, or similar observability platforms)</li><li>Experience with architectural diagramming tools (C4 modeling preferred, but general architectural diagramming acceptable)</li><li>Experience with machine learning and computer vision applications</li><li>Background in designing data-intensive applications and digital twin technologies</li><li>Experience implementing end-to-end AI/ML technical solutions</li><li>Previous work in research or innovation teams focused on emerging technologies</li><li>Background in enterprise architecture or systems integration</li><li>Working knowledge of frontend development platforms (React, React Native, iOS, Android)</li><li>Experience prototyping and communicating new AI/automation ideas and products</li><li>AWS Cloud Practitioner, AWS Solutions Architect, or equivalent cloud certifications</li><li>Kubernetes/container orchestration certifications</li></ul>

Principal Solution Architect, Artificial Intelligence and Analytics

<div><strong>Overview</strong></div><div>Chick-fil-A is looking for a <strong>Sr. Lead Software Engineer</strong> that will design, build, and support software for Chick-fil-A's Customer Payments team. As Chick-fil-A continues to expand, the importance of reliable, available, and flexible payment systems is a critical part of supporting a remarkable guest experience. The customer payments team is positioned to help provide a robust platform for processing Chick-fil-A payment traffic including gift cards, card payments, and digital wallets.</div><div>&nbsp;</div><div>As an individual contributor, your technical contributions will help set the standard of well-written, documented, and clear microservices powering a growing platform designed to process billions in payment volume. You will also be responsible for the maintenance, monitoring, deployment, and secure and reliable operation of new and existing applications. Your contributions will build upon established frameworks, extend frameworks to support new functionality, and help define new frameworks and standards for the team to build upon.</div><div>&nbsp;</div><div>The ideal candidate is an experienced software engineer with domain experience in the payments industry including hands on knowledge of distributed, highly available payment systems. The ideal candidate should have an innate curiosity to dive deep and learn, sharing those data driven learnings with other engineers. The ideal candidate is ready and enthusiastic to mentor, work collaboratively, and elevate other engineering team members.</div><div>&nbsp;</div><div>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.</div><div><strong><br>Responsibilities</strong></div><ul><li>Influence solution architecture decisions for the payment's team</li><li>Lead delivery and operations of the payments team through individual contributions and influence. We desire our lead engineers to be both leads and engineers, spending about half of their time on leading others through influence and half contributing engineering work themselves.</li><li>Lead other engineers through influence and mentorship by exemplifying and teaching best practices, helping to solve knotty problems, reviewing code, and writing engineering designs.</li><li>Assist in interviewing and onboarding of other engineers</li><li>Assist in the design and delivery of products outside of your team, develop tools and processes for use outside of your team, and/or mentor other engineers (especially lead engineers) outside of your team</li><li>Guide partner-led engineering workstreams, contributing to solution design and code reviews</li><li>Guide engineering team in adoption of Chick-fil-A software engineering standards</li><li>Identify &amp; propose emerging software engineering technologies, methodologies and/or approaches</li></ul><div><br>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.&nbsp;</div><div><strong><br>Minimum Qualifications</strong></div><ul><li>Broad and deep programming experience in Go, Java, JavaScript, Python, or other comparable languages</li><li>Experience designing and maintaining complex software solutions with some experience in the payment's domain</li><li>Experience mentoring, including good interpersonal and team collaboration skills</li><li>Experience working with Infrastructure as Code</li><li>Experience with SQL and data modeling</li><li>Experience with source control systems like Git</li><li>Experience implementing application security, software design patterns, and the SDLC</li><li>Proven ability to positively influence the engineering culture and practices in a professional environment</li></ul><div><strong><br>Preferred Qualifications</strong></div><ul><li>Experience with test-driven development, continuous integration and deployment, Scrum discipline, or comparable software development practices</li><li>Experience developing and delivering microservices using Kubernetes and docker</li><li>Deep understanding of AWS architecture</li><li>Familiarity with version control systems and code merging/branching; specific experience with git desirable</li><li>Experience working with an agile development methodology featuring sprints, points estimation, and daily standups</li><li>Experience with Kafka, Amazon SQS, or similar</li><li>Experience with integrating and managing payment's terminals</li></ul><div><strong><br>Minimum Years of Experience</strong></div><div>5</div><div><strong><br>Travel Requirements</strong></div><div>10%</div><div><strong><br>Required Level of Education</strong></div><div>Bachelor's degree or equivalent experience</div><div><strong><br>Preferred Level of Education</strong></div><div>Bachelor's Degree</div><div><strong><br>Major/Concentration</strong></div><div>Computer Engineering, Computer Science, or related technical field</div>

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