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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
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