Tate Price
Staff Software Engineer | Distributed Systems & High-Throughput Data | Building AI Infrastructure
- Role
- Staff Software Engineer Data Platform & Ai Infrastructure at SPS Commerce
- Location
- Hudson, WI, US
- LinkedIn followers
- 500 followers
About Tate Price
Staff Software Engineer | Platform Architect | Distributed Systems & High-Scale DataI am a Staff Software Engineer with over a decade of experience building the high-availability Java-based platform services and multi-tenant frameworks that power enterprise-scale data ecosystems. My expertise lies in designing production-grade APIs that normalize, enrich, and process tens of millions of daily requests with 99.9% reliability and low latency.Throughout my career, I’ve specialized in leading complex cloud migrations (AWS/GCP) and optimizing distributed systems using Kubernetes (GKE/EKS) and Microservices architectures. I thrive at the intersection of backend engineering and data infrastructure, specifically leveraging Spark, SQL, and Databricks to solve high-volume performance bottlenecks.As a technical leader, I focus on building reusable platform capabilities and observability frameworks that scale both systems and engineering culture. I am currently focused on advancing Applied AI Architecture and infrastructure to drive the next generation of intelligent enterprise tools.AREAS OF EXPERTISE:Backend & Platform: Java (11/17+), Spring Boot 3.x, Hibernate, REST/gRPC API Design, Multi-tenancy.Data & Scale: SQL Optimization (Anti-joins, Partitioning), Spark, Databricks, Redis, BigTable, PostgreSQL.Infrastructure & Cloud: Kubernetes, Docker, Terraform, CI/CD, GCP, AWS, Service Mesh.Leadership: Technical Mentoring, System Design & Architecture, Agile/Scrum, High-Availability (HA) Strategy.
Experience
Staff Software Engineer Data Platform & Ai Infrastructure
Apr 2025 — Present
Architected the high-scale data foundation for the SPS retail network, managing multi-terabyte datasets (Java/Python/Spark SQL) to enable real-time visibility across supply chain connections.Optimized distributed data processing pipelines by implementing Z-ordering and month-level partitioning strategy, resulting in a significant reduction in query latency and compute cost savings.Led the technical design of an API-first data platform, migrating legacy monoliths to Kubernetes-based microservices to support event-driven supply chain orchestration.Standardized \"Engineering Guardrails\" for language selection, secret management, and CI/CD practices, mentoring 15+ engineers on scalable systems design and maintainable code patterns.Engineered automated data-validation frameworks to ensure high-fidelity inputs for downstream AI/ML models, directly supporting the transition toward agentic commerce tools.
Education
University of Denver
Master’s Degree, Computer Design and Programming
2012 — 2014
University of Colorado Boulder
Bachelor of Arts, Political Science and History; Minor emphasis in Economics
2003 — 2006
theFirehoseProject
Certificate of Completion, Full Stack Web Development
2015 — 2015
Skills
- Json
- Css
- Jquery
- Marketing
- Customer Support
- Private Equity
- Jquery UI
- Saas
- Management
- Haml
- Social Media Marketing
- Customer Service
- Git
- Html5
- Algorithms
- Ember.js
- Wire Framing
- Algorithm Design
- Project Management
- Product Development
- Github
- Social Media
- Java
- Ruby
- Test Driven Development
- Microsoft Office
- Sales
- Sass
- Leadership
- Strategic Planning
- Software as a Service (Saas)
- Ruby on Rails
- Salesforce.com
- Start-Ups
- Intellij Idea
- Less
- Financial Modeling
- Javascript
- Marketing Strategy
- Microstrategy
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