Senior Data Platform Engineer at Bevi
Boston, MA
$158,100–$195,300
Jul 22, 2026
Boston, MA
Jul 23, 2026
What this job asks for AI summary
A senior individual-contributor role responsible for owning and building the entire data platform stack at an IoT beverage company — covering ingestion, transformation, orchestration, CI/CD, and self-service BI. A central focus is designing and building the IoT data model (machine sensors, UI interactions, and consumption data), while also establishing governance, observability, and AI access patterns. Suits an experienced data or platform engineer with full production platform ownership under their belt.
Senior level · 8+ years · Remote · Full-time
Pay in the description: $158,100–$195,300
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 440 people nationally plausibly meet what this posting asks for (database architects). range 270–660
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is posted as fully remote (#LI-REMOTE) but Bevi is headquartered in Boston, MA; the CBSA reflects the company's home market.
SOC classification is a genuine judgment call: the role centers on data platform architecture, modeling, and pipeline engineering (15-1243 Database Architects), but the heavy emphasis on building production software — CI/CD, streaming pipelines, self-service tooling, and AI integration — also fits 15-1252 Software Developers. 15-1243 was chosen because data modeling, governance, and warehouse architecture are the stated primary deliverables.
Kafka, Kinesis, Spark, and InfluxDB are listed together as illustrative examples of streaming/batch tooling ('e.g., Kafka, Kinesis, Spark, InfluxDB') under the requirements section. Because they are presented as a set of interchangeable examples rather than all individually mandated, they are marked preferred; Kafka is listed as the primary with the others as alternatives, and InfluxDB is kept separate as a time-series-specific tool.
Grafana appears in the narrative description of the existing stack ('Fivetran, Snowflake, dbt, Looker, Grafana') rather than in a hard-requirements block, so it is marked preferred.
LLMs/AI agent data access patterns are called out explicitly in the requirements section but framed as experience with how AI tools consume data rather than a specific named tool, so it is marked preferred as the closest concrete technology signal.
CI/CD is referenced throughout the role description as a platform responsibility but is not tied to a specific named tool, so it is marked preferred.
No formal degree is required; the posting emphasizes demonstrated experience and accomplishments over credentials.
Read the full posting
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