Asks for

The ad says“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).”
The ad says“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).”
The ad says“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).”
The ad says“Expert with modern cloud data stack tooling: Fivetran, Snowflake, dbt, and a modern BI layer (Looker or similar).”
The ad says“Expert with modern cloud data stack tooling: Fivetran, Snowflake, dbt, and a modern BI layer (Looker or similar).”
The ad says“Deep, hands-on experience architecting streaming and batch data pipelines at scale (e.g., Kafka, Kinesis, Spark, InfluxDB).”
The ad says“Deep, hands-on experience architecting streaming and batch data pipelines at scale (e.g., Kafka, Kinesis, Spark, InfluxDB).”
The ad says“Deep, hands-on experience architecting streaming and batch data pipelines at scale (e.g., Kafka, Kinesis, Spark, InfluxDB).”
The ad says“Expert with modern cloud data stack tooling: Fivetran, Snowflake, dbt, and a modern BI layer (Looker or similar).”
The ad says“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.”
The ad says“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).”
The ad says“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.”
The ad says“Expert with modern cloud data stack tooling: Fivetran, Snowflake, dbt, and a modern BI layer (Looker or similar).”
The ad says“Deep, hands-on experience architecting streaming and batch data pipelines at scale (e.g., Kafka, Kinesis, Spark, InfluxDB).”
The ad says“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.”
The ad says“Deep, hands-on experience architecting streaming and batch data pipelines at scale (e.g., Kafka, Kinesis, Spark, InfluxDB).”

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.
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.

#LI-CD1

#LI-HYBRID

At Bevi, we believe compensation is a powerful tool to attract, retain, and grow talent. Our Compensation Philosophy centers on 5 principles:

Market-driven - We anchor pay decisions in real-time market data
Performance-based - We reward individual impact, not just tenure
Equitable - We ensure fairness across teams, roles, and demographics
Growth-focused - We invest in talent that scales with Bevi
Total Rewards approach - We strategically balance base pay, bonuses, benefits, and equity

The posted compensation range reflects the salary* for this position. Some roles may be eligible for a commission plan or a bonus incentive. All Bevi employees receive equity in the form of stock options. All full-time employees are invited to participate in our Total Rewards plan, which includes health & medical benefits, flexible spending accounts, flexible PTO, and more. Offers to join Bevi are based on a few criteria, including the scope of the role, the candidate's work experience, targeted skills, internal equity of the team, and external market data.

*For Sales roles: The posted range reflects base salary plus commission which is the total potential on target earnings (OTE) for the position.

Pay Range

$170,000—$210,000 USD

Benefits:

Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer
401(k) with company match
Flexible PTO plus 12 company holidays, and additional paid days for sick leave, etc
Generous fully paid parental leave for both birth parents and non-birth parents
Fully employer paid disability and life insurances
Wellness and fitness reimbursements
Monthly stipends for cell phone use and commuting costs
Onsite snacks, weekly catered lunch, and (of course) unlimited Bevi ... plus composting and terra-cycling, too
Happy hours, team-building events, bagel breakfasts, Values awards - and more.

A note on AI in our hiring process: We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow. Every application is reviewed by a member of our team, and interviews may be recorded to support note-taking, just let us know if you'd prefer we don't. We'll also ask how you're learning and experimenting with AI in your work. Growing our AI fluency is something every Bevi team member is committed to and invested in.

Our commitment to responsible innovation is reflected in our partnership with the Mass AI Coalition, a collaboration that aligns with our dedication to community-driven progress and the future of technology.

We're passionate about supporting career growth and would love to be part of your professional journey. We also know that talent comes in many forms. We value individual accomplishments, specialized knowledge, and genuine passion over simply checking boxes on a requirements list. Whether you're a seasoned expert or an emerging talent, we're looking for people who are ready to build what's next. If any of our open positions interest you, we'd encourage you to apply! A member of the Bevi Talent team 'recruiting@bevi.co' will be reaching out about next steps if we would like to move forward.

Accommodations:

Bevi is committed to an inclusive hiring process and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact recruiting@bevi.co.