Staff Data Infrastructure Engineer

Job Description

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 in the US to the top of the list.

Pattern is the leader in global e-commerce and marketplace acceleration, headquartered in Utah's Silicon Slopes tech hub—with offices in Asia, Australia, Europe, and the Middle East. Hundreds of global brands — including Bosch, Nestlé, Stance, TUMI, and Panasonic — rely on the company’s e-commerce acceleration platform to grow their online sales on direct-to-consumer websites, online marketplaces, and other digital channels in more than 60 countries, all while managing fulfillment and logistics. With last year's revenue exceeding $1 Billion, Pattern has been named one of the fastest growing tech companies 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®.

We are looking for a Staff Data Infrastructure Engineer to lead design, architecture and implementation of the next generation of data infrastructure and platform to enable our partners and employees across the company to find actionable, high quality insights more efficiently, predictably and sustainably.

This is a full-time role and will work a hybrid schedule based in Lehi, Utah.

Frequently Asked Questions

• What is a day in the life of a Staff Data Infrastructure Engineer?
• Build and maintain scalable, high-performance data infrastructure and platform to support the company's data usage and analytics needs.
• Design and implement solutions that reduce friction in accessing and using data across the organization.
• Collaborate cross-functionally with engineering, data, and product teams to ensure the platform meets diverse data requirements.
• Continuously improve and optimize data pipelines, making data easily accessible and usable for various teams.
• Invest into automation daily to simplify data infrastructure and platform, continuously improving reliability, security, quality, and performance.
• Troubleshoot and resolve complex issues in data systems, ensuring smooth operation and data integrity.
• Stay updated with the latest trends and technologies in data engineering to drive innovation and efficiency in the company’s data infrastructure.

What will I need to thrive in this role?

What does high performance look like?

What is my potential for career growth?

What does success look like in the first 30, 60, 90 days?

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What is the team like?

Sounds great! What’s the company culture?

We are looking for individuals who are :

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Why should I work at Pattern?

Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.