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Director of Data Engineering

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 46 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.comTarget.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].


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®.


We need a Director of Data Engineering to lead the people, process, and strategy for our foundational Data Engineering team. This Director will significantly elevate the maturity and operational excellence of the function, ensuring the reliable creation of data features and models that fuel our AI/ML initiatives. This is a full-time role and will work a hybrid schedule based in Lehi, Utah.


What is a day in the life of a Director of Data Engineering?
  • Provide seasoned people management and mentorship to a distributed team of engineers across the US and India.
  • Drive the operational maturity and efficiency of the Data Engineering function.
  • Oversee the development, testing, and deployment of complex data pipelines that transform raw data into usable data models and features.
  • Run the quarterly project process, ensuring tactical execution and that "no pipelines are left behind."
  • Partner closely with Data Science and AI teams, ensuring the engineering output directly enables the building and training of models.
  • Communicate strategy and progress through formal presentations to leadership and cross-functional stakeholders.


What will I need to thrive in this role?
  • 7+ years of dedicated experience as a people manager, with a proven track record of growing and enabling engineers.
  • Prior experience in a Director-level role with demonstrated ability to set and drive organizational strategy.
  • Experience managing or collaborating with global or offshore teams;
  • Exceptional program management skills with the ability to define objectives, track progress, and deliver outcomes.
  • A strong understanding of data engineering principles (e.g., data modeling, ETL/ELT pipelines) to effectively lead the function.
  • Must be highly proficient and comfortable with stakeholder management and executive-level presentations.
  • Familiarity with open-source data tools is a plus (SaaS environment experience is preferred).


What does high performance look like?
  • You successfully implement a strategic growth plan for every member of your team.
  • You significantly increase the reliability and efficiency of the team's data pipelines and data models.
  • You proactively define and present the strategy for the Data Engineering function to the broader organization.
  • You establish and maintain clear, concise communication channels with all cross-functional partners.
  • You follow through with all assignments in a timely manner
  • You give 100% to all tasks and projects you are given
  • You will take full ownership of your projects and follow through to completion 


What is my potential for career growth?
  • This role is a critical strategic hire that establishes the foundation for the next phase of our Data organization's growth. As the company continues to scale and the Data Engineering team expands (organically or through function consolidation), you will be positioned to take on greater scope and influence over the entire data platform and architecture, working directly with senior leadership to define the future of data at Pattern.


What does success look like in the first 30, 60, 90 days?
  • 30 Days (Ramp Up): You will fully map out the team structure, tools, and processes, understanding "where is what" and who the key internal stakeholders are.
  • 60 Days (Tactical Command): You will be immersed in the team's quarterly projects, providing tactical oversight and guidance to ensure successful execution.
  • 90 Days (Strategic Leadership): You will become the owner of the function's strategy, defining the roadmap, objectives, and key results for the Data Engineering team.


What is the team like?
  • You will manage a team of 6 Data Engineers across the US and India, reporting directly to the VP of Data and Architecture through regular performance meetings. 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 is 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 hiring manager
  • Technical Interview
  • Onsite interview with a panel of department leaders
  • 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) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 


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. 

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Full-time, hybrid
DATE POSTED
October 21, 2025
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