Senior Data Platform Engineer

About the role

Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year, saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development.

We're looking for a Senior Data Platform Engineer to own the foundation the entire Data & Data Science org builds on. This is a senior individual-contributor role — reporting directly to our Head of Data — that's both strategic and deeply hands-on, spanning the full data platform stack from Git-based build standards through ingestion, transformation, and self-service BI. You'll work alongside other senior technical leaders on the team, each owning deep technical domains of their own. Your proving ground: designing and building our IOT data model — machine sensors, digital UI interactions, and beverage consumption — end to end, hands-on. It's a real, complex system, and it's how you show you can build on the platform you're setting standards for, not just describe best practices. You'll design and build the architecture and governance that let a growing team of analytics engineers, data scientists, and AI tools build and ship safely and independently, at speed, without sacrificing accuracy. This isn't a role that writes a playbook and hands it off: you'll build the platform yourself, evolve what the team has already put in place, and be the person other engineers look to for how it's done right. The right candidate combines deep technical expertise with innovation and operational excellence, thriving in a hands-on role to deliver scalable, production-ready, high-impact data solutions.

Your Day to Day:

- Own the full data platform — ingestion, modeling, self-service, CI/CD, and visualization — including the process, documentation, and enforcement that keeps standards followed.

- Design and build best-in-class reliable, scalable, and performant data architecture and data flows to support the democratization of data, analytics, AI, and ML initiatives.

- Partner with Software to identify, recommend, and implement the right tech stack to support streaming data at scale that integrates into our existing stack: Fivetran, Snowflake, dbt, Looker, Grafana.

- Own data modeling, transformation, and orchestration for IOT — machine sensors, digital UI interactions, and beverage consumption — partnering with Software, Hardware, Product, and Operations to translate complex data needs into production-ready solutions.

- Build the governed self-service model that lets teams build and ship their own data work safely; includes permissioning, PR-based peer review, production-readiness standards, and full lineage/traceability from source to dashboard.