Lead Data Engineer, Supply Chain Data Services

Chick-fil-A•Atlanta, GA

About The Position

Overview We are seeking a highly skilled and experienced Development Engineer to join our Master Data Management (MDM) team. This Level 9 role is critical in designing, developing, and implementing robust MDM solutions, primarily within our Stibo (STEP) platform, to empower our business with high-quality, reliable data. The ideal candidate will possess a strong blend of technical expertise in JavaScript development, deep knowledge of data architecture and modeling, and a keen eye for user experience in data entry and maintenance. This role emphasizes delivering features with business velocity while strictly adhering to foundational data modeling principles and ensuring best-in class data quality. In this role, you will be responsible for analyzing, documenting, and optimizing the flow of data within our organization, ensuring it accurately reflects and supports our physical processes and systems. You will play a key role in designing and implementing improvements to our data lifecycle management, including Item Lifecycle Management. Responsibilities Process Engineering: Encourage requirements gathering, strong process understanding, documentation, and policy design and enforcement, to align the digital data environment and process to the physical network it informs and supports. Process Observation and Documentation: Observe and analyze how our digital data ecosystem mirrors physical processes and systems. Document data flows, information flows, and integration flows using engineering best practice documentation techniques (e.g., process flow diagrams, data flow diagrams). Perform Current State Assessments, Target State Design, and Gap Analysis to comprehensively understand limitations of the system and how to implement continuous improvement to close gaps in desired capabilities and outcomes. Software Development: Lead the design, development, and implementation of new features and enhancements for our Master Data Management software, with a strong emphasis on physical JavaScript coding within the Stibo (STEP) environment. Data Architecture & Integration: Architect and optimize data structures within the Stibo (STEP) MDM system, ensuring seamless integration with various enterprise systems and data sources. Data Modeling & Lifecycle Management: Apply advanced data modeling techniques to ensure data integrity, scalability, and performance within Stibo (STEP). Implement and manage data lifecycle principles from data creation to archival. Focus on how data is created, ingested, systematized, consumed, and deprecated within the MDM system and downstream consuming systems and analytics. Develop and implement strategies to improve data quality, governance, and compliance throughout the data lifecycle. Feature Delivery & Velocity: Drive the rapid delivery of high-quality features to production, maintaining a strong focus on business pace and velocity while upholding rigorous development standards. Foundational Data Principles: Ensure all development and design decisions adhere to foundational data modeling principles, promoting data consistency and accuracy across the organization. User Interface Design: Design intuitive and efficient user interfaces for data entry, maintenance, and consumption within Stibo (STEP), optimizing the user experience for various data stewards and business users. Data Quality & Engineering Practices: Leverage strong critical thinking to anticipate and implement robust data quality guardrails, appropriate data types, effective dating logic, and other advanced data engineering practices to ensure the highest standards of data retention and integrity within the MDM system. Collaboration: Partner closely with business stakeholders, data stewards, and other engineering teams to translate business requirements into technical solutions.

Requirements

Bachelors Degree: Major/Concentration Engineering (industrial or systems preferred), Computer Science, Information Systems, or a related field
4+ years of progressive experience in software development, with a significant focus on data-intensive applications and Master Data Management.
Experience mapping current state processes, identifying inefficiencies, and designing improved future state processes.
Experience in process improvement methodologies (e.g., Lean, Six Sigma).
Experience with data analysis to drive process improvement recommendations.
Experience in designing, implementing, and maintaining data and analytics systems.
Experience with data modeling and database design.
Experience with DevOps practices and automation.
Expert-level proficiency in JavaScript development (including the development of STEP business rules), strong understanding and experience with STEP APIs (including STEP GraphQL), and the development of STEP extensions in Java, with a proven track record of building complex, scalable applications.
Proficiency in business process modeling and notation.
Ability to translate business requirements into technical specifications.
Knowledge of data integration techniques and tools.
Demonstrated experience working with Master Data Management platforms, specifically with Stibo (STEP), including system setup (e.g., data and component models, security, matching and linking, API Endpoints, etc), STEP Workflow design and configuration, WebUI, Integrations, system performance, taxonomy and attribute management, and data quality metrics setup and profiling.
Strong foundation and hands-on experience in data architecture, systems integrations, data modeling, and data lifecycle management principles.
Understanding of data governance and data quality principles.
Understanding of system security and data privacy principles.
Exceptional critical thinking and analytical skills, with the ability to anticipate potential data quality issues and design proactive solutions.
Strong analytical and problem-solving skills to identify root causes of process issues.
Ability to troubleshoot system issues and identify solutions.
Demonstrated ability to design user-centric interfaces, particularly for data entry and management systems, considering aspects like data types, validation, and effective dating.
Excellent communication and interpersonal skills, capable of articulating complex technical concepts to both technical and non-technical audiences.
Ability to facilitate workshops and gather requirements from stakeholders.
Experience working in an agile development environment, with a commitment to delivering value incrementally and adapting to evolving business needs.

Nice To Haves

Information Systems, or a related field
Deep functional and technical knowledge of Stibo (STEP) modules and capabilities.
Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
Knowledge of data governance frameworks and best practices.

Responsibilities

Encourage requirements gathering, strong process understanding, documentation, and policy design and enforcement, to align the digital data environment and process to the physical network it informs and supports.
Observe and analyze how our digital data ecosystem mirrors physical processes and systems.
Document data flows, information flows, and integration flows using engineering best practice documentation techniques (e.g., process flow diagrams, data flow diagrams).
Perform Current State Assessments, Target State Design, and Gap Analysis to comprehensively understand limitations of the system and how to implement continuous improvement to close gaps in desired capabilities and outcomes.
Lead the design, development, and implementation of new features and enhancements for our Master Data Management software, with a strong emphasis on physical JavaScript coding within the Stibo (STEP) environment.
Architect and optimize data structures within the Stibo (STEP) MDM system, ensuring seamless integration with various enterprise systems and data sources.
Apply advanced data modeling techniques to ensure data integrity, scalability, and performance within Stibo (STEP).
Implement and manage data lifecycle principles from data creation to archival.
Develop and implement strategies to improve data quality, governance, and compliance throughout the data lifecycle.
Drive the rapid delivery of high-quality features to production, maintaining a strong focus on business pace and velocity while upholding rigorous development standards.
Ensure all development and design decisions adhere to foundational data modeling principles, promoting data consistency and accuracy across the organization.
Design intuitive and efficient user interfaces for data entry, maintenance, and consumption within Stibo (STEP), optimizing the user experience for various data stewards and business users.
Leverage strong critical thinking to anticipate and implement robust data quality guardrails, appropriate data types, effective dating logic, and other advanced data engineering practices to ensure the highest standards of data retention and integrity within the MDM system.
Partner closely with business stakeholders, data stewards, and other engineering teams to translate business requirements into technical solutions.