# Senior Data Platform Engineer

**Company:** [Bevi](https://hotfix.jobs/companies/bevi)
**Location:** Boston, MA
**Role:** Data Engineering
**Salary:** $170k – $210k/yr
**Experience:** 8+ years
**Skills:** Fivetran, Snowflake, dbt, Looker, Grafana, Kafka, kinesis, Spark, influxdb, SQL, Python, Data Modeling, Data Governance, data observability, streaming pipelines
**Posted:** 2026-07-23

> Senior individual contributor owning Bevi's full data platform (ingestion through self-service BI). Build and evolve IoT data models, streaming pipelines, governance, observability, and AI integration on Fivetran/Snowflake/dbt/Looker stack. Requires 8+ years owning production data platforms end-to-end.

## Job Description

## 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.

## Compensation & Benefits

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.

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