Analytics Engineer (Artifactory Product Analytics)

We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping — not as an optional add-on.
Fixed-term contract: 6–8 months. Start date: October 12, 2026.
Responsibilities:

Design telemetry: partner with PMs and R&D to define event and data specs for product usage — schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging intermediate gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools

Requirements:

Must-have requirements:

4+ years in analytics engineering, data modeling, or a closely related warehouse role — shipping production-grade models, not only ad-hoc SQL
Hands-on dbt in production: models, tests, documentation, version control
Strong SQL and warehouse data modeling (layered models, grain, entities)
Amazon Redshift or a comparable cloud warehouse (Snowflake, BigQuery)
Proven experience designing product telemetry with PMs or engineers — event schemas, properties, validation
Experience with event-tracking platforms / tracking-plan tooling (Snowplow, Segment, Amplitude or similar)
Daily, fluent use of Cursor, Claude, or equivalent agentic coding environments to write, review, and ship data work
Git-based workflows and code review
Comfortable building a shared data layer in close partnership with embedded product analysts; clear English communication with PMs and engineers

Nice to have:

Snowplow specifically (strongly preferred)
Redshift specifically
BI / semantic-layer exposure (Looker, Tableau, Metabase or similar)
Python for data tooling
B2B DevOps / developer-tools product domain
Bachelor's degree in a quantitative or technical field, or equivalent hands-on experience