Principal Analytics Architect

ButcherBox is a certified B Corp headquartered in Boston, and honored to be celebrating our fourth year in a row on Inc.'s list of Best Workplaces. At ButcherBox, we believe in better. That’s why we deliver 100% grass-fed, grass-finished beef, free-range organic chicken, pork raised crate-free, and wild-caught seafood directly to our members’ doors. All of our products are humanely raised or wild-caught and never given antibiotics or added hormones ever.

We’re working to build a world that’s better for all, and we’re inviting everyone to come along. For us, better means treating our planet with respect. It means improving the lives of animals and the livelihoods of farmers. It means never cutting corners when it comes to doing business. Ultimately, it means better meals, enjoyed together. Our team is made up of people who collaborate and support one another. We’re always looking for outstanding people to join our mission! 

ABOUT THE POSITION

As a Principal Analytics Architect, you will serve as a senior technical leader for data architecture and analytics solutions, reporting to the Associate Director of Data and Backend Engineering. You will help set the technical direction for how ButcherBox connects operational flows across the business, the systems that support them, and the data models that draw from them. You'll bring a data-oriented perspective to how we integrate backend systems and balance impacts on how we design, build, and evolve our warehousing and modeling layers. The work of this role will simplify our overall architecture while better connecting systems that need to draw from data across our ecommerce suite, including Shopify, NetSuite, CDP, and CRM platforms.

This role blends hands-on technical leadership with organization-wide influence. You will translate business strategies into scalable, well-governed architectural designs, establish standards for trusted and maintainable data solutions, and drive adoption of core models and integrations across reporting and operational endpoints. Your work will reduce metric ambiguity, improve data quality and timeliness, and accelerate delivery of insights and downstream capabilities that depend on reliable foundations.