Data Architecture & Modeling Lead

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.
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* Job Title:

** Data Architecture & Modeling Lead    
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* Reports to:

** Director, Data Architecture
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* Location:

** United States (Remote)
Interested applicants must reside in one of the following approved states:
Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, Washington.
** The Role
** As the Data Architecture Modeling Lead, you will be responsible for leading the design, development, and implementation of data models and architecture solutions that support our business objectives. You will collaborate with cross-functional teams to ensure data integrity, optimize data flow, and enhance data management practices. This role is pivotal in converting complex business requirements into scalable conceptual, logical, and physical data assets on AWS-native platforms.
** We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together.
**** Your Impact**
* ** Strategic Vision:
** Translate the enterprise modeling vision into actionable domain-level roadmaps and deliverables, ensuring alignment with business goals.
* ** Solution Influence:
** Influence solution designs to adopt governed, domain-oriented data products and canonical definitions, driving consistency and quality.
* ** Product Advisory:
** Advise product owners on modeling implications of new features and digital-transformation initiatives, ensuring seamless integration.
* ** End-to-End Development:
** Own the end-to-end development of conceptual, logical, and physical models for assigned domains, ensuring they meet business needs.
* ** Design Patterns:
** Create design patterns that support batch, near-real-time, and event-driven data flows, optimizing performance and scalability.
* ** Data Consistency:
** Ensure lineage, naming standards, and semantic consistency across tables, views, and streaming topics, maintaining data integrity.
* ** Physical Implementation:
** Convert models into physical DDL on Redshift, Iceberg, or other AWS-based storage technologies, validating performance and cost efficiency.
* ** Documentation:
** Document models in the central repository and keep metadata continuously current, ensuring accessibility and usability.
* ** Technological Expertise:
** Stay current on trends in knowledge graphs, semantic layers, and AI-driven metadata enrichment, driving innovation.
* ** Governance:
** Embed data-quality, privacy, and security controls into model design, partnering with governance teams to enforce standards.
* ** Mentorship:
** Mentor and review work for junior modelers and data engineers, fostering best practices and skill growth.
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* Collaboration:

** Facilitate workshops with business analysts, product managers, and engineering teams to refine requirements and iterate rapidly on prototypes.
* ** Leadership:
** Provide authoritative guidance on modeling impacts during sprint planning, code reviews, and architecture boards, championing a culture of experimentation and continuous improvement.
** Who You Are**
* ** Educational Background:
** You hold a Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. An advanced degree or industry certification is a plus, showcasing your commitment to continuous learning and professional growth.
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* Proven Experience:

** With 7–10 years of experience in data modeling or data-architecture roles within cloud-native environments, you have a track record of designing production models that support BI, ML, or operational workloads erience in retail, consumer-products, or e-commerce industries is a bonus.
* ** Technical Expertise:
**…