Senior Data Platform Engineer

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.
• Continue to evolve how AI connects to our data including the governance and guardrails that let AI operate at scale without sacrificing accuracy.
• Continue to evolve the monitoring and alerting process so that it is scalable and reliable; comprehensive with minimal noise.
• Define and enforce best practices for privacy governance and security — including how we handle sensitive data (e.g. HR/people data) — and build the audit-ready rigor and change-management discipline a fast-scaling company needs.
• Collaborate with Data Science team members to enable advanced analytics experimentation and AI/ML modeling.
• Provide technical leadership to engineers 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 of experience in data engineering analytics engineering or platform engineering with demonstrated ownership of a full production data platform (not just a slice of it).
• Expert with modern cloud data stack tooling: Fivetran Snowflake dbt and a modern BI layer (Looker or similar).
• Fluent in how AI tools consume data — designed or governed access patterns for LLMs/AI agents querying structured data (eg semantic layers read-only access controls tool-calling patterns).
• Deep hands-on experience architecting streaming and batch data pipelines at scale (e.g. Kafka Kinesis Spark InfluxDB).
• Track record designing governance models that let non-engineers quickly and safely self-serve — permissions PR/review workflows production-readiness gates.
• Experience building the observability layer for a data platform — monitoring alerting lineage and data quality tracking — so breaks get caught immediately and every dataset can be traced from source to consumption.
• Strong SQL and Python with a demonstrated track record of independently driving ambiguous cross-functional problems all the way to production — not just recommending a solution but building and shipping it yourself.
• Track record of mentoring engineers and driving innovation within high-performing data teams.

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What We Do

Founded in 2013 with a vision to eliminate the need for single-use bottles and cans Bevi is redefining how beverages are delivered in commercial spaces. Best known for its Smart Water Cooler® Bevi has grown into the leading connected beverage platform combining hardware data and beverage innovation to deliver still sparkling flavored and enhanced drinks on demand. Powered by real-time connectivity and insights Bevi enables organizations like Hyatt Tripadvisor Netflix and Delta to offer customizable healthy beverage experiences while reducing environmental impact. To date Bevi machines have reduced the need for more than one billion single-use plastic bottles and cans. Thousands of organizations across the United States Canada the UK and Ireland hydrate sustainably with Bevi machines including workplaces gyms hotels retail stores airports hospitals universities and more.For more information visit www.bevi.co and follow Bevi on Instagram and LinkedIn.

Why Work With Us

We’re a team of self-starting mission-driven individuals with a passion for purposeful innovation (and of course office pups). Our employees are always looking to get involved and spread sustainability from park cleanups and urban farming to used clothing and donation drives. By working at Bevi you are making a difference!

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