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Fanatics

China-based licensed sports merchandise retailer

Distinguished Architect - Enterprise Data & Integration

Data ManagementConfirmed live in the last 24 hours
Full-time$300k - $375k

About the Job

Requirements

  • At least 15 years in enterprise software architecture, most of it in data and integration architecture at enterprise scale, with depth across multiple technology generations and a strong grounding in application and distributed systems architecture, including service decomposition, domain boundaries, and the tradeoffs involved in building large systems.
  • Extensive experience in data modeling and data management across complex, multi-system environments, including master and reference data, data quality, and lineage, and demonstrated experience architecting enterprise-scale data lake and warehouse environments using modern platforms such as Snowflake, StarRocks, and Iceberg.
  • Deep expertise integrating transactional systems, including order management, inventory, warehouse management, manufacturing, enterprise resource planning, and commerce platforms, including systems inherited through acquisition; experience integrating external trading partners through electronic data interchange and modern application programming interface-based onboarding.
  • Command of enterprise integration patterns, including event-driven architecture, application programming interface design and governance, and messaging and streaming platforms such as Kafka, with a well-formed view of how each fits in a large-scale commerce and supply chain environment.
  • Experience designing a semantic or metrics layer for analytics and operational consumers, and judgment to assess whether enterprise data is ready to ground artificial intelligence applications and conversational experiences.
  • Demonstrated ability to set technical direction across an organization without direct authority, with a track record of mentoring senior architects and raising architectural practice standards.
  • Strong written and verbal communication, including presenting architecture to executives, engineering audiences, and public forums, and producing documentation and decision records that remain useful beyond individual involvement.
  • Strong enterprise-scale cloud architecture skills and architectural experience in environments with significant privacy and regulatory exposure, including data classification, residency, and retention obligations.
  • A bachelor's degree in Computer Science, Engineering, or a related field is required.

Responsibilities

  • Set enterprise data and integration architecture direction across direct-to-consumer, wholesale, manufacturing, and fulfillment, spanning canonical business entity models, transactional system integrations, and analytical data flows.
  • Partner with engineering, product, and data leaders to set architectural direction for data and integration platforms, shape major platform transitions, and make the technical and economic case for vendor and build decisions.
  • Represent architecture to the engineering organization and serve as a trusted partner to technology and business leaders; represent Fanatics architecture externally through speaking, writing, and public forums.
  • Contribute to enterprise architecture decisions involving application, platform, and security design.
  • Mentor senior and principal architects, raise architectural practice standards, and help engineering teams build according to established standards and reference patterns.
  • Communicate architectural direction to executive and engineering audiences, ensuring choices are understood, documented, and revisitable.
  • Own integration architecture across transactional systems, data lakes and warehouses, and external trading partners, maintaining the resiliency and availability needed to reliably flow order, inventory, product, and customer data.
  • Support enterprise data architecture that makes data trustworthy and accessible for artificial intelligence applications and conversational experiences, enabling fan-facing commerce and personalization.
  • Ensure external trading partner integrations—including marketplaces, wholesale customers, third-party logistics providers, and carriers—are robust, current, and capable of supporting the global fan experience.
  • Partner with Data Governance, Information Security, and Compliance to ensure data and integration architecture meets privacy, regulatory, and contractual obligations.
  • Define enterprise data architecture, including canonical models and standards for representing the business in data, and set direction for incorporating new and acquired systems.
  • Drive the design of a semantic or metrics layer for analytics and operational consumers, and assess enterprise data readiness for artificial intelligence and agentic applications across commerce and supply chain.
  • Shape enterprise-scale data lake and warehouse environments, including coexistence and transitions among Snowflake, StarRocks, and Iceberg, and advise on platform selection and build-versus-buy decisions.
  • Apply enterprise integration patterns, including event-driven architecture, application programming interface design and governance, and Kafka-based messaging and streaming, to advance integration maturity.
  • Establish data and integration architecture standards and reference patterns, and maintain architectural direction through models, diagrams, and decision records.
  • Design integrations for production realities, including failure, recovery, and reconciliation across order management, inventory, warehouse management, manufacturing, enterprise resource planning, and commerce platforms.
  • Ensure data and integration architecture accounts for privacy and regulatory exposure, including data classification, residency, and retention obligations.
  • Lead the technical and economic case for major platform investments, including ongoing operating costs, and hold the organization accountable for strategically sound and financially disciplined architecture.
  • Apply artificial intelligence and technology to improve efficiency, quality, and outcomes; use data and digital tools to inform decisions and enhance performance; adopt new technologies and ways of working; and contribute to continuous improvement.

Desired Qualifications

  • Retail, ecommerce, or consumer goods experience is preferred.
  • A master's degree is preferred.

About the Company

Fanatics

China-based licensed sports merchandise retailer

Fanatics China is a joint venture between Fanatics Inc. and Hillhouse Capital that localizes and scales licensed sports merchandise for China. It designs, manufactures, and markets fan gear for Chinese consumers, operating a multi-channel model that includes building and running e-commerce sites for global leagues and teams, exploring online marketplaces, and developing physical retail concepts. Its product workflow combines technology, data, and on-demand manufacturing to manage the entire supply chain, enabling fast response to demand. The company differentiates itself through a China-focused approach backed by Hillhouse’s network and investments, its end-to-end vertical commerce model, and partnerships with hundreds of sports organizations, which together help it navigate China’s complex retail landscape. The goal is to satisfy a previously underserved Chinese market for licensed sports merchandise by creating localized products and channels that connect fans with official gear.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$5.2B
Headquarters
Huangpu, China
Founded
1995

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