536 Enterprise Data Architect jobs in Seattle,WA

Amazon.com Services LLC

Seattle, WA 98127

7+ years of working directly with engineering teams experience
7+ years of technical product or program management experience
5+ years of software development experience
Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Experience managing programs across cross functional teams, building processes and coordinating release schedules
Experience owning/driving roadmap strategy and definition

Amazon

Seattle, WA 98127

Amazon Data Services

Seattle, WA 98127

Amazon.com Services LLC

Seattle, WA 98127

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language

Weyerhaeuser

Seattle, WA 98164

Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
10+ years of experience designing and delivering technology solutions on edge, cloud, and data platforms.
Demonstrated success defining architecture for complex, distributed systems operating at enterprise scale.
Deep understanding of modern AI technologies, including machine learning, generative AI, and intelligent agent architectures with one or more major enterprise AI ecosystems such as Microsoft Azure AI, AWS, Google Cloud, OpenAI, Anthropic, Snowflake, Databricks, SAP, or comparable platforms.
Experience designing reusable patterns, shared services, developer frameworks, and engineering accelerators that improve enterprise AI delivery.
Experience applying AI across one or more domains (the more the better): manufacturing/industrial, commercial (sales, supply chain, logistics), corporate functions (IT, HR, Finance, Legal, Procurement), or geospatial/GIS.
Experience implementing AI governance, Responsible AI practices, model lifecycle management, evaluation frameworks, observability, or MLOps.
Experience influencing technical direction across the enterprise through technical leadership rather than direct authority.
Excellent communication skills with the ability to engage executive, business, and technical audiences.