Sr. Data Architect

Senior Data Architect

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you'll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you'll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

The Senior Data Architect is a strategic and hands-on leader responsible for designing and delivering YETI's next-generation data and AI architecture across retail, eCommerce, supply chain, and operations. This role will define scalable modern data platforms, domain-driven data models, and agentic AI capabilities leveraging cloud-native technologies (Azure and/or GCP), Databricks (including Agent Bricks), Google BigQuery, Google Vertex AI, SAP S/4HANA, SAP Datasphere, and Power BI.

Key Responsibilities

• Enterprise Data & AI Architecture
• Retail Domain Data Modeling
• Cloud & Platform Architecture (Azure and/or GCP)
• Data Ingestion & Integration Frameworks
• AI Strategy & Agentic AI (Agent Bricks / AI Agents)
• Data Governance & Data Quality
• Analytics & BI Enablement (Power BI)
• Leadership & Collaboration

Required Qualifications

• 10+ years of experience in data architecture, data engineering, and analytics.
• Strong hands-on architecture experience with cloud platforms (Azure and/or GCP).
• Deep experience designing and implementing Databricks Lakehouse architectures.
• Experience with Google BigQuery enterprise warehouse technologies.
• SAP S/4 integration experience with Databricks and BigQuery.
• Proven ability to create retail-specific enterprise domain data models and canonical data definitions.
• Expertise in ingestion frameworks (batch/CDC/streaming), data pipeline observability, and performance optimization.
• Strong experience with data governance and data quality frameworks (policies, controls, stewardship, monitoring).
• Experience with enterprise BI tools, including Power BI.
• Demonstrated experience contributing to data strategy and/or AI strategy, including delivery roadmaps and measurable outcomes.

Preferred Qualifications

• Experience with Databricks Agent Bricks AI capabilities.
• Experience with retail/eCommerce analytics (Customer 360, omnichannel metrics, merchandising, fulfillment, inventory optimization).
• Experience with data product or data mesh operating models.
• Experience with event-driven architectures and modern integration patterns for SaaS ecosystems.
• Experience building or architecting AI agents (LLM-based workflows), including RAG and tool integration patterns.