Define and evolve enterprise data architecture principles, standards, and reference architectures aligned to business priorities and modern practices
Lead the design and maintenance of enterprise conceptual, logical, and physical data structures, ensuring consistent definitions and shared semantics
Establish domain-oriented architecture patterns for reusable, governed data products and interoperable data flows
Develop architecture patterns supporting both batch and streaming workloads, including event-driven approaches and canonical representations
Partner with data engineering teams to translate architecture and logical designs into scalable physical implementations on AWS cloud data platforms
Ensure consistent data definitions, lineage, and metadata documentation across domains by enabling cataloging and lineage platforms
Maintain a central repository of architecture artifacts, definitions, and metadata documentation
Influence data design decisions across programs and projects through architecture reviews and standards enforcement
Facilitate architecture and data design workshops with business and technical stakeholders
Lead, mentor, and develop a team of data architects and specialists, ensuring consistent delivery of architecture outcomes
Stay current on evolving architecture trends and evaluate their applicability to Deckers

Requirements

Bachelor’s degree required, preferably in Computer Science, Information Systems, or a related technical field; Master’s degree preferred
10 to 15 years of experience in data architecture roles, including leadership experience
Significant experience designing and implementing architecture in cloud-based, modern data ecosystems
Experience supporting large-scale data programs within retail, consumer products, or related industries preferred
Familiarity with AWS data services such as S3, Redshift, Glue, and Lake Formation
Experience with data cataloging, metadata management, and lineage tracking platforms
Understanding of modern data formats and storage approaches including Parquet, Iceberg, and Delta Lake
Deep expertise in conceptual, logical, and physical data architecture across diverse technology stacks
Strong understanding of modern data architecture concepts including data mesh, event-driven design, and data products
Ability to translate complex business requirements into scalable and reusable architecture designs and standards
Excellent collaboration, facilitation, and influencing skills across technical and business teams
Strong analytical and problem-solving abilities combined with a results-driven mindset.

Benefits

Competitive Pay and Bonuses
Financial Planning and wellbeing
Time away from work
Extras, discounts and perks
Growth and Development
Health and Wellness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturecloud-based architecturedata modelingmetadata managementdata lineagedata catalogingevent-driven designdata meshdata productsdata formats

Soft Skills

collaborationfacilitationinfluencinganalytical skillsproblem-solvingleadershipmentoringcommunicationresults-driven mindsetstakeholder engagement

Certifications

Bachelor’s degreeMaster’s degree