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Salary
$170k – $210k per year
Location
In office (Boston)
Seniority
Senior · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Aug 22, 2026.

Overview
Company
Impact
Profile match

Join Bevi, a fast-growing startup revolutionizing the beverage industry with our innovative beverage dispensing technology. As a Senior Data Platform Engineer, you will own the foundation of our Data & Data Science organization, designing and building our IoT data model and ensuring the scalability and performance of our data architecture. You will work closely with other senior technical leaders and provide technical leadership to engineers across the organization. This is a hands-on role that requires deep technical expertise and a passion for innovation.

Missions

  • Posséder la plateforme de données complète, y compris l'ingestion, la modélisation, l'automatisation et la visualisation.
  • Concevoir et construire une architecture de données fiable, évolutive et performante pour soutenir la démocratisation des données.
  • Collaborer avec les équipes de logiciels pour identifier, recommander et mettre en œuvre la bonne pile technologique pour prendre en charge les données en streaming à grande échelle.

Profil recherché

- Track record of mentoring engineers and driving innovation within high-performing data teams

- 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)

- 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)

- 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

- Deep, hands-on experience architecting streaming and batch data pipelines at scale (e.g., Kafka, Kinesis, Spark, InfluxDB)

- 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 designing governance models that let non-engineers quickly and safely self-serve - permissions, PR/review workflows, production-readiness gates

- Expert with modern cloud data stack tooling: Fivetran, Snowflake, dbt, and a modern BI layer (Looker or similar)

- 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!

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