Director, Platform Architecture

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us.Job Title: Director, Platform ArchitectureReports to: Chief Digital & Data OfficerLocation: United States (Remote) Eligible States: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, WashingtonThe Role As the Director, Platform Architecture, you will define and scale Deckers’ modern data and analytics platform architecture, ensuring it is secure, scalable, governed, and optimized for performance and cost. You’ll establish foundational architectural frameworks, technology standards, and best practices for our cloud-native platform, with AWS as the core environment. Collaborating with data architects, platform and Dev Ops engineering teams, product leaders, and governance specialists, you’ll enable analytics, AI, and domain-driven data products across the enterprise through reusable platform services, robust security and access controls, and clear operational standards.Your ImpactSupport the development of the enterprise data platform strategy aligned with business objectives and digital transformation initiativesDefine and maintain the architectural blueprint and reference architecture for the cloud-native data platform using AWS as the core environmentEstablish principles and patterns for platform scalability, reliability, security, observability, and cost optimization across platform services and shared capabilitiesDesign and maintain standards for platform architecture layers including infrastructure, networking, identity and access management, audit logging, metadata management, access control, and observabilityPartner with domain architects and engineering teams to ensure shared platform services are reusable, modular, and governed, and that domain teams can self-serve effectivelyGuide the adoption of platform services and tools that enable data mesh, pub-sub models, event-driven architectures, and self-serve data product deliveryLead evaluation and selection of core platform technologies and services, ensuring they meet business needs for analytics, real-time streaming, governance, and machine learning enablementPromote architectural patterns that enable resilience, scalability, cost efficiency, and rapid delivery, including standards for automation, environment management, and operational readinessPartner with Data Governance, Security, and Compliance teams to embed privacy, security, and audit-readiness into platform architecture and delivery practicesDefine standards for metadata capture, lineage tracking, data quality measurement, and access management across platform services and toolingProvide architectural leadership and mentorship to platform engineers, Dev Ops teams, and data engineering teams, including design reviews and technical guidanceCollaborate with Program Delivery, Product Management, and architecture peers to align roadmaps, sequencing, and execution plans across multiple teamsInfluence platform design decisions across the organization and drive alignment to enterprise goals through standards, reference implementations, and review processesSupport vendor evaluations, licensing decisions, and long-term technology investments for the platform ecosystem, including total cost of ownership considerationsWho You AreBachelor’s degree required, preferably in Computer Science, Engineering, or related technical field; Master’s degree preferredAWS Certified Solutions Architect Professional or equivalent certifications are highly preferred10 to 15 years of experience in platform architecture, data architecture, or enterprise systems design5 or more years of leadership experience building or scaling cloud-native data platforms, ideally on AWSExperience supporting modern data architectures including lakehouse models, real-time streaming, and domain-oriented data…

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