Data Architecture Lead
About the role
The Data Architecture Lead position plays a crucial role in shaping Deckers' enterprise data foundation. This role involves translating enterprise architecture standards into domain-aligned designs, defining consistent data structures and semantics, and partnering with various teams to ensure data architectures are implemented and adopted.
Responsibilities
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.
Enable trusted data products, analytics, operational reporting, and future AI use cases through modern data architecture practices that drive innovation and business impact.
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.
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.
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.
Requirements
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
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
Excellent collaboration, facilitation, and influencing skills across technical and business teams
Strong analytical and problem-solving abilities combined with a results-driven mindset
Comfortable operating in a fast-paced, matrixed, and global environment
Qualifications
No specific qualifications listed
Skills
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
Excellent collaboration, facilitation, and influencing skills across technical and business teams
Strong analytical and problem-solving abilities combined with a results-driven mindset
Comfortable operating in a fast-paced, matrixed, and global environment
Benefits
Competitive Pay and Bonuses
Financial Planning and wellbeing
Time away from work
Extras, discounts and perks
Growth and Development
Health and Wellness
Pay
$122,300.00 - $165,000.00
Schedule
Remote