Director, Data Architecture
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Job Description
Director of Data Architecture defining and evolving data architecture for Deckers Brands. Leading design, governance, and implementation of enterprise data strategy to support business goals.
Responsibilities:
- 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
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