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 these architectures are implemented and adopted.

Responsibilities

• Translate enterprise architecture standards into domain-aligned designs, 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.
• Work 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.

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.
• 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.
• Experience with metadata management, data cataloging, and lineage concepts and platforms.
• Understanding of modern data formats and storage approaches.
• Experience with AWS-based platforms.
• Experience with domain-oriented data products, data mesh concepts, and event-driven approaches.
• Strong analytical and problem-solving abilities.
• Excellent collaboration, facilitation, and influencing skills.

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