Staff Data Infrastructure Engineer

1 Month ago • 8 Years + • Data Analyst

About the job

Job Description

Pattern is seeking a Staff Data Infrastructure Engineer to lead design, architecture, and implementation of data infrastructure. 8+ years of experience, expertise in cloud platforms (AWS, Kubernetes, Kafka, EMR), strong software engineering skills in Python, GoLang, Java, Ruby, or C++, and experience with data processing engines like Spark are essential.
Must have:
  • Cloud Platforms
  • Data Infrastructure
  • Software Engineering
  • Data Processing
Good to have:
  • Snowflake
  • Databricks
  • Python
  • GoLang
Perks:
  • Unlimited PTO
  • Onsite Fitness
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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?

  • 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. While 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 like 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.

What does high performance look like?

  • 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.

What is my potential for 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.

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

First 30 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.

First 60 Days:

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.

First 90 Days:

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.
 

What is the team like?

  • 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.

Sounds great! What’s the company culture?

We are looking for individuals who are:

  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.

  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.

  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.

  • Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.

What is the hiring process?

  • Initial phone interview with Pattern’s talent acquisition team

  • Video interview with the VP of Data and Architecture

  • Technical assessment with a member of the team

  • Data infrastructure assessment with a member of the team

  • Final interview with a senior leader of the engineering team

  • Professional reference checks

  • Executive review

  • Offer

How can I stand out as an applicant?

  • Discuss professional accomplishments with specific data to quantify examples

  • Provide insights on how you can add value and be the best addition to the team

  • Focus on mentioning how you would be partner obsessed at Pattern

  • Share experience on any side projects related to data and analytics

Why should I work at Pattern?

Pattern offers big opportunities to make a difference in the ecommerce 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 include

  • Unlimited PTO

  • Paid Holidays

  • Onsite Fitness Center

  • Company Paid Life Insurance

  • Casual Dress Code

  • Competitive Pay

  • Health, Vision, and Dental Insurance

  • 401(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.

Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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About The Company

Pattern® provides a proven blend of marketplace analytics, product distribution, MAP compliance, and brand management to drive ecommerce acceleration for premium brands. We thrive on high energy, professional excellence, and disciplined creativity.

 

Lehi, Utah, United States (Hybrid)

Lehi, Utah, United States (Hybrid)

Lehi, Utah, United States (Hybrid)

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