3 days ago Be among the first 25 applicants
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 e-commerce marketplaces leveraging proprietary technology and AI. Utilizing more than 46 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of e-commerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern's e-commerce 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.
Role Overview
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.
Responsibilities
- 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 in 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.
Qualifications
8+ years of experience in data infrastructure and / or backend software engineering.Solid experience working with cloud platforms and services such as AWS, Kubernetes, Kafka, and EMR to build and manage scalable data infrastructures. Familiarity with data tools like Snowflake and / or Databricks is a plus.Hands-on experience with data processing engines like Spark is highly desirable.Strong software engineering skills, with the ability to write clean, efficient, and maintainable code in one or more languages such as Python, GoLang, Java, Ruby, or C++.Demonstrated ability to solve complex problems, take initiative, and collaborate effectively across teams.Proven leadership abilities and a proactive, "can-do" attitude in managing projects and delivering high-quality results.High Performance
Innovate proactively, finding solutions that significantly improve data access and infrastructure efficiency.Lead cross-functional efforts to enhance collaboration and optimize platform performance.Deliver scalable infrastructure upgrades that greatly improve the company's ability to harness data effectively.Mentor team members, driving a culture of growth and technical excellence.Set industry-leading best practices, ensuring adoption of cutting-edge technologies and processes.Career Growth
In this role, you'll work closely with other data and engineering team members and have opportunities to be mentored, mentor others, and interact with many departments at Pattern. We are passionate about promoting our Pattern people and look internally whenever possible to offer growth opportunities in our merit-based company.First 30 60 90 Days
In the first 30 days, you will become fully acquainted with the company's data infrastructure, tools, and workflows. You'll establish relationships with key stakeholders and cross-functional teams to understand their data needs and pain points. During this time, you'll also begin identifying areas where immediate improvements can reduce friction or inefficiencies in the data pipeline.By the 60-day mark, you'll be actively contributing to infrastructure projects, coding daily, and addressing key challenges in data systems. You'll collaborate with teams to design solutions that improve data accessibility and system reliability, while also leading smaller initiatives aimed at enhancing operations across departments.At 90 days, you will have delivered significant improvements to the data infrastructure, making it more accessible and efficient for the organization. You'll have taken ownership of major projects and driven them toward successful completion. Additionally, you'll play a key role in mentoring team members and setting the groundwork for long-term scalability and innovation in the data infrastructure.Team & Culture
You will work with the other members of the data team and be supervised by the VP of Data and Architecture. This team is data driven and results oriented. You will collaborate regularly with members of your team to implement actionable solutions. Ideas and input are encouraged from all members.Hiring Process
Initial phone interview with Pattern's talent acquisition teamVideo interview with the VP of Data and ArchitectureTechnical assessment with a member of the teamData infrastructure assessment with a member of the teamFinal interview with a senior leader of the engineering teamProfessional reference checksExecutive reviewOfferStand Out as an Applicant
Discuss professional accomplishments with specific data to quantify examplesProvide insights on how you can add value and be the best addition to the teamFocus on mentioning how you would be partner obsessed at PatternShare experience on any side projects related to data and analyticsWhy Work at Pattern
Pattern offers big opportunities to make a difference in the e-commerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that includeUnlimited PTOPaid HolidaysOnsite Fitness CenterCompany Paid Life InsuranceCasual Dress CodeCompetitive PayHealth, Vision, and Dental Insurance401(k)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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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