Jeffrey Jewett

About Jeffrey Jewett

I work at the intersection of enterprise architecture, AI, and technical strategy.I help organizations evaluate complex systems and platform choices using agentic AI workflows that analyze architectures, expose strengths and flaws, compare competitive approaches, and clarify tradeoffs across capabilities, complexity, cost, risk, and operational fit.My focus is not AI for hype. It is AI for better technical judgment- Evaluate system architectures and design choices - Identify hidden complexity, scaling risks, and operational friction - Compare vendor and platform capabilities with rigor - Assess tradeoffs across flexibility, performance, governance, and time-to-value - Accelerate technical discovery, competitive analysis, and executive decision supportMy background spans distributed systems, cloud architecture, streaming, data platforms, developer ecosystems, and enterprise technical strategy. I work with both technical and executive stakeholders to turn complexity into clear decisions and practical architecture outcomes.I believe the best architecture is rarely the one with the most features. It’s the one that delivers the right capabilities with the least unnecessary complexity.NASA Technical Recognition Award- High-Speed Aircraft External VisionHoneywell Technical Merit Awards- Image-Tiling for External Vision - Head-Tracking Aperture for External Vision - Automated Aircraft Systems Functional Decomposition with Code-Generation

Experience

1. Principal Sales Engineer - Telco

   Snowflake

   May 2023 — Present

   Evaluate enterprise architectures through the lens of capability, complexity, cost, risk, and time-to-value, helping customers make better platform decisions.Apply AI-augmented workflows to accelerate architecture assessment, technical discovery, and competitive analysis.Identify architectural strengths, design flaws, hidden operational costs, and scale limitations in proposed and existing platform strategies.Guide customers through tradeoffs across Snowflake, lakehouse, streaming, governance, interoperability, and AI/ML design patterns.Enable executive and engineering alignment by turning complex technical debates into structured architecture decisions.

Education

• Arizona State University

  Bachelor of Science, Mechanical Engineering - Aerospace Emphasis

Skills

• Enterprise Software
• Options
• Cloud Computing
• Software Engineering
• Electronic Trading
• Commodity
• Software Development
• Trading Systems
• Graph Databases
• Linux
• Linux Programming
• Big Data
• C++
• High Frequency Trading
• Distributed Architecture
• Saas
• Software as a Service (Saas)
• Apache Spark
• Cassandra
• Trading
• Derivatives
• Market Data
• Project Management
• Hadoop
• C#
• Multithreading
• Low Latency
• Windows Programming
• Software Design
• Apache Cassandra
• Solr
• Agile Methodologies
• Professional Services
• Distributed Systems