Pattern8d ago

VP of Data Platform & Architecture

United States·LehiFull-time (Salary)executive

OtherArchitecture

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Quick Summary

Overview

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern!

Technical Tools

OtherArchitecture

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.

Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

Lead the data organization through directors and managers, focusing on the strategic evolution of data engineering and platform architecture.

Architect and scale distributed systems capable of processing petabyte-scale datasets and hundreds of billions of events.

Collaborate with cross-functional teams to drive a company-wide data vision and operating model aligned with corporate goals.

Obsess over the "developer experience," building self-service capabilities and abstractions that reduce time-to-delivery from days to minutes.

Manage the performance and cost efficiency of the platform, including transitions toward open-source technologies like Airflow, Debezium, Iceberg, Trino, and Spark.

Mentor international engineering teams, establishing high-level frameworks for technical excellence and operational rigor.

Nice to Have

~1 min read

Be prepared to discuss and articulate trade-offs across database types, streaming platforms, query engines, and orchestration tools — including commercial vs. open-source considerations at scale.

Highlight specific instances where you improved developer velocity by introducing platform abstractions.

Demonstrate your ability to lead and unify engineering teams across different time zones and cultures.