Requirements

5+ years of experience building modern data pipelines and infrastructure in high-growth environments.
Deep expertise in SQL, Python, Snowflake, and dbt.
Proven experience designing and maintaining ETL/ELT workflows using tools like Airbyte, Rudderstack, or Fivetran.
Strong background in data modeling, schema design, and observability frameworks.
Experience working with onchain data (e.g. balances, transactions, token movements) — ideally within a blockchain, exchange, or web3 analytics environment.
Ability to operate autonomously, set direction, and collaborate effectively across teams.

Nice to Haves

Familiarity with crypto data ecosystems (RPCs, indexers, explorers, bridges, DEXs).
Experience supporting A/B testing and experimentation infrastructure (e.g. Eppo, LaunchDarkly).
Exposure to marketing and growth data pipelines (Braze, AppsFlyer, attribution).
Prior work improving query performance, dbt refactoring, and data cost management.
Comfortable in a lean, high-ownership environment with broad scope.

Onchain Data Engineering: Design and maintain robust pipelines that transform raw blockchain data into reliable, analytics-ready datasets.
Data Modeling & Architecture: Build scalable, well-tested models in dbt to power product metrics, experimentation, and user segmentation.
Data Quality & Observability: Implement monitoring, testing, and data quality frameworks to ensure data accuracy and trust.
Cross-Functional Collaboration: Partner with Product, Data Science, and Growth teams to deliver data solutions that unlock insights.
Infrastructure & Optimization: Drive performance improvements and cost efficiency across the data stack.
Technical Leadership: Help define best practices for data engineering and mentor peers.