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.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®.
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,