Principal Enterprise Architect

Deckers Brands

. Develop and articulate an enterprise-wide architectural vision for DTC commerce and AI .

Posted 10/14/2026full-timeRemote • United StatesLead💰 $154,700 - $208,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise architecture with a focus on DTC commerce and AI, including the ability to define governance policies, manage large-scale transformation projects, and lead cross-functional teams. Proficient in modernizing legacy systems and implementing cloud-based, API-driven architectures while ensuring compliance with responsible-AI practices.

Highest-signal resume keywords

Enterprise ArchitectureDTC EcommerceAI and Machine Learning SolutionsMACH and Composable CommerceData Architecture and Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureCloud ComputingAPI IntegrationMicroservicesEcommerce PlatformsData ProcessingMLOpsLarge Language ModelsIntegration PatternsArchitecture Governance

Soft Skills

Strategic VisionLeadership SkillsAnalytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

AWSBoomiOracle EBSPLMPIM

Industry Keywords

RetailFashionConsumer GoodsCustomer DataOrder Management

Tech Stack

Tools & technologies

AWSCloudMicroservicesOracle

About the role

Key responsibilities & impact

Develop and articulate an enterprise-wide architectural vision for DTC commerce and AI
Define and enforce architecture governance policies and standards across brands and regions
Establish an AI review process for use-case approval, risk, and production readiness
Create and maintain a multiyear DTC and AI architecture roadmap
Own the target architecture for ecommerce, OMS, inventory orchestration, payments, CDP, loyalty, content management, search, personalization, marketplaces, and fulfillment
Champion MACH principles and composable commerce architecture
Modernize legacy commerce and integration systems into cloud-based, API-driven architectures
Define the enterprise AI reference architecture and shared AI platform
Establish responsible-AI controls covering safety, privacy, data residency, model risk, and regulatory compliance
Define API-first and event-driven integration patterns
Oversee data architecture and governance for DTC and AI
Collaborate with executive leadership and senior stakeholders on architectural priorities
Lead and mentor architects, engineers, and AI practitioners
Define and track KPIs for DTC architecture and AI initiatives
Report progress to senior management and monitor emerging technologies and industry trends

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent applicable industry experience
8+ years of experience in enterprise or solution architecture within retail, fashion, or consumer goods
3+ years of hands-on experience architecting AI and machine learning solutions, including generative AI and large language model applications delivered into production
Deep expertise in DTC ecommerce, order management, customer data, and integration
Proven experience with MACH and composable commerce architecture, microservices, API integration, cloud-native environments, and iPaaS platforms such as Boomi
Experience managing large-scale transformation projects, commerce platform modernization, and AI adoption programs
Experience supporting global products and working with technical and global business stakeholders
Experience evaluating AI and commerce vendors and platforms
Familiarity with the retail or fashion industry and the consumer journey from discovery through service
Extensive knowledge of multi-cloud computing; AWS is required
Strong understanding of AI and ML architecture, including LLMs, RAG, agents, vector databases, model evaluation, MLOps, LLMOps, guardrails, and responsible-AI practices
Proficiency with ecommerce platforms, OMS, CDP, loyalty, personalization, and payment platforms
Strong background in data architecture, data governance, and large-scale data processing
Proficiency in enterprise integration and interoperability, including Oracle EBS, PLM, and PIM
Ability to produce reference architectures, decision records, and solution blueprints
Strategic vision and leadership skills
Strong analytical, problem-solving, and communication skills
Adaptable, forward-thinking, and pragmatic approach to AI
Detail-oriented team player committed to high-quality work

Benefits

Comp & perks

Competitive compensation programs
Bonuses
Financial planning and wellbeing programs
Income protection, expense support, and investment plans
Time away from work / paid time off
Employee discounts
Community-based programs
Personal and professional development opportunities
Health and wellness programs