Senior Data Platform Engineer
Bevicareers · Boston
About this role
## Senior Data Platform Engineer ### About Bevi 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 **$160M+** in venture capital, serve thousands of customers across the **US, Canada, UK, and Ireland**, and are rapidly growing year over year—saving **1B+ bottles** from waste. We’re also heavily investing in new product development. --- ### Role Overview 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**—both **strategic and deeply hands-on**—spanning the full data platform stack from **Git-based build standards** through **ingestion, transformation, and self-service BI**. Your proving ground: designing and building our **IoT data model** (machine sensors, digital UI interactions, and beverage consumption) **end to end**. 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. This isn’t a “write a playbook and hand it off” role. You’ll build the platform yourself, evolve what’s already in place, and be the person other engineers look to for how it’s done right. --- ### Your Day to Day - **Own the full data platform**: ingestion, modeling, self-service, CI/CD, and visualization—plus the process, documentation, and enforcement that keeps standards followed. - Design and build **reliable, scalable, high-performance** data architecture and data flows to support democratization of data, analytics, AI, and ML. - Partner with Software to identify, recommend, and implement the right tech stack for **streaming data at scale**, integrating with **Fivetran, Snowflake, dbt, Looker, and Grafana**. - Own **IoT data modeling, transformation, and orchestration** (machine sensors, digital UI interactions, beverage consumption), partnering with Software, Hardware, Product, and Operations. - Build a **governed self-service model** so teams can build and ship their own data work safely (permissioning, PR-based peer review, production-readiness standards, and full lineage/traceability). - Evolve how **AI connects to our data**, including governance and guardrails for accurate, scalable AI operations. - Continue to evolve **monitoring and alerting** to be scalable, reliable, and low-noise. - Define and enforce **privacy, governance, and security** best practices (including sensitive data like HR/people data) and build audit-ready rigor and change-management discipline. - Collaborate with Data Science to enable advanced analytics, experimentation, and AI/ML modeling. - Provide **technical leadership** across the Data & Data Science organization. - Stay current with emerging data technologies and recommend strategic improvements to the data platform. --- ### Who You Are - **8+ years** experience in data engineering, analytics engineering, or platform engineering, with demonstrated ownership of a **full production data platform**. - Expert with modern cloud data stack tooling: **Fivetran, Snowflake, dbt**, and a modern BI layer (**Looker or
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