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Enterprise Data Architect

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Abercrombie & Fitch Co.

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Location:
United States, Columbus

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

167000.00 - 184000.00 USD / Year

Job Description:

We are seeking a highly skilled and collaborative Data Architect to join our Enterprise Architecture team. This role is pivotal in shaping how data is organized, governed, and utilized across the entire organization. The ideal candidate will possess a deep understanding of enterprise data ecosystems and be passionate about enabling data-driven decision-making through well-architected solutions. As an enterprise architect, you will play a crucial role in designing and optimizing systems and processes that directly contribute to business value. The primary responsibility of the architect is to work within the A&F (Abercrombie & Fitch) Digital and Technology organization and business community to ensure systems are architected utilizing industry best practices and within the guidelines set forth by A&F. Drive designs and patterns on multiple projects including our underlying data platforms and other projects that will meet enterprise requirements for scale and reliability while transforming the architecture to a modern footprint. Facilitate design sessions with architects and tech leaders to design solutions which meet enterprise standards. Additionally, the architect will be responsible for understanding emerging technology architectures for data, cloud, AI, microservices, integration patterns, and DevOps pipelines to make recommendations for incorporating appropriate emerging architectures into future A&F roadmaps.

Job Responsibility:

  • In partnership with Data Strategy teams, determine the business and technical capabilities needed to align strategies with execution
  • Own and author data capability maps aligned with business functions
  • Translate business needs into domain-aligned data models
  • Act as a Strategic Though Partner and Enabler of AI/ML initiatives
  • Advise business and technology leaders on AI-readiness of systems and platforms
  • Identify opportunities for data reuse, integration, and optimization
  • Champion the development of data products
  • Define data architecture and analytics capabilities to enable real-time visibility, predictive modeling, and data-driven decision-making
  • Leverage data to identify trends, risks, and opportunities
  • Serve as subject matter expert and a leader inside our AICoE and CCoE
  • Adopt and Adapt a Federated, Product-Centric Model to our ways of working
  • Participate in our architecture review process
  • Model the Enterprise Data Architecture, its components and connections, references
  • Deliver AI/data ready solutions from trusted data sources
  • Identify and inventory enterprise data sources, lakes, and warehouses
  • Enable and architect the data flows/structures that support performant reporting and dashboarding
  • Evaluate new technologies and frameworks
  • Champion the vision and priorities of Data teams across the enterprise
  • Become a trusted partner within our data teams, tech services, and business units
  • Collaborate with senior executives, business stakeholders, and cross-functional teams
  • Collaborate deeply with data teams, product owners, marketing, supply chain, and digital commerce leaders
  • Collaborate with analytics, AI/ML, and business intelligence teams
  • Act as a bridge between enterprise architecture and data & analytics teams
  • Collaborate with technology teams and external partners
  • Identify opportunities for data sharing, interoperability, and real-time visibility
  • Research and assess emerging technologies, solutions, and tools
  • Advise on steps to achieve modernization goals
  • Provide architectural guidance and oversight throughout the project lifecycle
  • Implement AI-First Governance and Security Frameworks
  • Define and help implement data classification, lineage, and stewardship practices
  • Proactively support the use of observability tools for data
  • Facilitate alignment on data standards, classifications, and consumption models
  • Partner with information security teams
  • Work to continually improve real time metadata management and dynamic lineage
  • Champion data governance, privacy, and compliance (GDPR, CCPA, PCI)
  • Provide architectural guidance (via standards) on how and where to consume data from enterprise platforms
  • Create reusable patterns for integrating core systems and their data
  • Ensure scalability, performance, and security of data solutions
  • Create and maintain architectural artifacts, including data flow diagrams, reference architectures, and standards
  • Educate stakeholders on data architecture principles and best practices
  • Develop, train, and mentor other architects
  • Serve as an advanced technical leader and as such, a role model both technically and behaviorally
  • Document architectural standards and design patterns

Requirements:

  • Bachelor’s degree in Computer Science or related field
  • advanced degree preferred, or combination of relevant skills and experience
  • 10+ years of experience in technical leadership within large-scale organizations (retail experience preferred)
  • Proven expertise in enterprise data architecture, ideally in cross-functional or federated environments
  • Strong understanding of data modeling, metadata management, and data integration
  • Experience with modern data platforms (Snowflake, Databricks), cloud providers (AWS, Azure, GCP), and streaming technologies (Kafka, Spark)
  • Practical experience designing production-ready cloud platforms and implementing AI/ML models at scale
  • Demonstrable experience with data governance tools, semantic models and frameworks
  • Excellent communication, stakeholder management, and change leadership skills
  • Ability to translate complex technical concepts into actionable business value
  • Experience with integration technologies and standards (API, EDI, Streaming)
  • Familiarity with CI/CD practices, containerization, and agile/DevOps methodologies
  • Strong knowledge of retail industry trends, challenges, and best practices
  • Familiarity with Generative and Agentic AI components and protocols: SML, LLM, MCP, A2B, ACP

Nice to have:

  • Experience with enterprise architecture frameworks (TOGAF, Zachman)
  • Proficiency with architecture software tools supporting data architecture across the organization
  • Background in business intelligence, analytics, or data science
  • Exposure to data mesh, data fabric, and modern metadata management
What we offer:
  • Incentive bonus program
  • 401(K) savings plan with company match
  • Annual companywide review process
  • Flexible spending accounts
  • Medical, dental and vision insurance
  • Life and disability insurance
  • Associate assistance program
  • Paid parental and adoption leave
  • Access to fertility and adoption benefits through Carrot
  • Access to mental health and wellness app, Headspace
  • Paid Caregiver Leave
  • Mobile Stipend
  • Paid time off and one paid volunteer day per year
  • Work from anywhere (Mondays and Fridays are “work from anywhere” days for most roles and six work from anywhere weeks per year)
  • Seven associate wellness half days per year
  • Merchandise discount on all of our brands
  • Opportunities for career advancement
  • Access to multiple Associate Resource Groups
  • Global team of people who will celebrate you for being YOU

Additional Information:

Job Posted:
December 14, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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