Enterprise Data Architect

7 days ago

Atlanta Georgia, United States Chick-fil-A, Inc. Full time
About the Role

Chick-fil-A, Inc. is seeking a highly skilled Data Architect to join our Digital Transformation & Technology (DTT) team. As a key member of our Analytics & Risk team, you will play a critical role in delivering digital capabilities and outcomes that transform data into business value.

Key Responsibilities
  • Manage the entire financial data lifecycle, from complex restaurant transactions to corporate financial systems, across all audiences.
  • 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 individual goals across these teams, challenging assumptions, and negotiating between competing priorities to deliver an optimized enterprise solution.
  • Manage secondary data domains and senior consultants serving in 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 a 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.
Requirements
  • Advanced analytical and problem-solving skills.
  • Strong interpersonal skills that 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 Requirements
  • 8 years of experience.
Travel Requirements

10% travel required.

Education

Bachelor's degree or equivalent experience.

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