Sr. Data Architect
On-site · Austin, Texas, United States
Job Summary
Senior Data Architect at YETI responsible for designing and delivering the company’s next-generation data and AI architecture across retail, eCommerce, supply chain, and operations. Defines 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. Leads enterprise data & AI architecture, creates reference architectures for batch, streaming, and real-time analytics, governs retail domain data models (Customer 360, Product & Merchandising, Orders & Fulfillment, Inventory, Supply Chain, Finance), and ensures secure, scalable data platform solutions with cross-platform patterns. Partners on AI strategy, including development of AI agents (Databricks Agent Bricks) and RAG patterns, while implementing data governance, data quality frameworks, metadata management, and stewardship. Enables self-service analytics via Power BI with standardized KPIs and semantic models. Mentors engineers, drives platform maturity through best practices, design reviews, and reusable accelerators.
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
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