Data Architecture 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.

Job Title: Data Architecture Lead

Reports to: Director, Data Architecture

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

As the Data Architecture Lead, you’ll be at the forefront of shaping Deckers’ enterprise data foundation. You’ll translate enterprise architecture standards into domain-aligned designs, define consistent data structures and semantics, and partner with engineering, analytics, and governance teams to ensure our data architectures are implemented and adopted. Your work will enable trusted data products, analytics, operational reporting, and future AI use cases, all through modern data architecture practices that drive innovation and business impact.

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.

• Partner with the Director, Data Architecture to implement enterprise data architecture standards and ensure consistent adoption across domains and initiatives
• Lead architecture design for assigned domains and initiatives, including conceptual, logical, and physical data structures aligned to business requirements and data products
• Define and maintain domain-aligned data definitions and semantic consistency to support a unified understanding of key business entities and metrics
• Develop architecture patterns that support batch and streaming use cases, including event-driven data flows and canonical representations
• Collaborate with data engineering teams to translate architecture designs into scalable physical implementations on AWS cloud data platforms
• Participate in architecture and design reviews, providing guidance, feedback, and enforcement of standards for new data products and platform changes
• Partner with governance teams to align architecture with data quality, privacy, security, access controls, classification, retention, and metadata requirements
• Maintain architecture artifacts and documentation in a central repository, including definitions, reference designs, and decision records to improve reuse and consistency
• Facilitate workshops with business and technical stakeholders to capture requirements, refine definitions, and align on domain boundaries and ownership
• Identify architecture gaps and improvement opportunities, and recommend practical enhancements to standards, patterns, and tooling that improve scalability and interoperability
• Coach and enable engineers and analysts on architecture expectations and best practices through working sessions, office hours, and documentation

• Bachelor’s degree required, preferably in Computer Science, Information Systems, or a related technical field;
  Master’s degree preferred
• 8 to 12 years of experience in data architecture and related roles
• Experience designing architecture in modern cloud-based data ecosystems, including AWS-based platforms
• Experience supporting domain-oriented data products, data mesh concepts, and event-driven approaches preferred
• Experience with metadata management, data cataloging, and lineage concepts and platforms
• Understanding of modern data formats and storage approaches including Parquet, Iceberg, and Delta Lake
• Strong expertise in conceptual, logical, and physical data architecture across diverse technology stacks
• Strong understanding of modern data architecture concepts including domain-driven design, data products, and event-driven data flows
• Ability to translate complex business requirements into scalable and reusable…