Principal Data Architect

Overview

Chick-fil-A has heavily invested in Analytics and Data Literacy in all areas of the business. The Analytics & Risk team, within Digital Transformation & Technology Shared Platforms (DSP), exists to deliver digital capabilities and outcomes that transform data into business value. We deliver mature advanced analytics capabilities and outcomes through empowering data and analytics programs, continuing to maximize the value of complex data portfolios through focused portfolios teams, and accelerating model operations implementation and adoption with comprehensive advanced analytics portfolio technology solutions.

The Financial Data Architect is a member of the DTT Shared Platform – Analytics & Risk team within the Digital Transformation & Technology (DTT) department. The primary role of the Enterprise Data Architect is to serve as “decision designers” that improve analytic business outcomes by optimizing data formats and structures, and to identify the best policies for maximizing the value of our organization’s data. What does this mean? This role wrangles billions of rows of data into consumable information that can be accessed in real-time to guide decision-making and insights for the entire organization, from Operators to Team Members to Staff to Customers. This role requires expert knowledge of both business and technology acumen to apply the right tool to meet the stakeholder requirements and must influence this plan across teams. The end goal is to create a vision and communicate how all of the pieces will ultimately come together. This role will be responsible for stewarding the organization’s financial data into a single source of truth that’s both searchable and accessible. The Data Architect 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.

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

• This role will be responsible for managing the entire financial data lifecycle all the way from complex restaurant transactions into corporate financials systems across all audiences.
• Emphasis on modernizing the Chick-fil-A Financials ecosystems to enable more real-time decision making
• Provide strategic oversight across functional business stakeholders, DTT audience teams, analysts, data engineering, and analytics portfolio teams to optimize enterprise data and analytics outcomes. Responsible for integrating all the individual goals across these teams, challenging assumptions, and negotiating between competing priorities to deliver an optimized enterprise solution.
• Manage secondary data domains and the senior consultants serving in the data architecture roles overseeing those enterprise data domains
• Provide expert technical leadership on all data architecture and data design issues impacting their data portfolio, with robust understanding of how that data portfolio supports enterprise decision-making and insights
• Translate complex business needs into technical solutions that deliver efficient, consistent, scalable, and cost-effective data to enable analytics outcomes and decisions spanning audience teams, functional business areas, and numerous systems at Chick-fil-A
• Identify key dependencies and overlapping efforts to influence prioritization and drive organizational efficiency
• Contribute to Chick-fil-A’s Enterprise Data Strategy on principles, standards, and best practices
• Partner with the ED&A (Enterprise Data & Analytics) Data Portfolio Owner to guide the vision and strategy of desired business outcomes, provide inputs to the data portfolio roadmap, and to influence and drive value of the data portfolio
• Partner with DTT Enterprise Architecture team and Data Architects to drive overlapping data outcomes across business areas
• Provide expertise and direction on what tools and patterns should be used from our enterprise data and analytics programs. Identify gaps and potential options to fill those gaps in our enterprise data and analytics capabilities. Possess the skills to get hands on to prove out the new capabilities.
• Mentor, develop, and partner with data and analytics resources seated across the organization to help them grow in data literacy and capabilities

Minimum Qualifications

• Advanced analytical and problem-solving skills
• Strong interpersonal skills which influence your ability to lead others
• Able to communicate complex problems and solutions effectively to a broad range of cross-functional teams using strong written and verbal communication skills
• Passionate about applying data strategy to achieve business outcomes
• Experience in data architecture 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 developing software code in one or more programming languages (i.e. Python); understanding of Apache Spark/Hadoop, relational and NoSQL databases.
• Experience with data analytics, BI, data reporting and visualization, all aspects of data management: data governance, data mastering, data warehousing, database management, and meta-data management.
• Experience designing and implementing data ingestion techniques for real-time and batch data pipelines from disparate data sources.
• Experience with ETL tools.
• Experience with the agile development methodology.
• Passion for continual learning
• 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
• Experience with AWS big data technology stack and cloud-based architecture
• Proven skill in standardization of ETL development and execution for large-scale enterprise data sources
• Has experience with AWS big data technology stack and cloud-based architecture
• Experience with enterprise grade financial software and solutions
• Love of data and curiosity of solving problems in innovative ways

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
• Experience with AWS big data technology stack and cloud-based architecture
• Proven skill in standardization of ETL development and execution for large-scale enterprise data sources
• Has experience with AWS big data technology stack and cloud-based architecture
• Experience with enterprise grade financial software and solutions
• Advanced Cloud, Data certifications or degrees in related field

Minimum Years of Experience

8

Travel Requirements

10%

Required Level of Education

Bachelor’s degree or equivalent experience

Preferred Level of Education

Bachelor’s Degree

Major/Concentration

Computer Science, MIS, Data Science, or comparable