Design and maintain robust pipelines that transform raw blockchain data into reliable, analytics-ready datasets.
Build scalable, well-tested models in dbt to power product metrics and user segmentation.
Implement monitoring, testing, and data quality frameworks that ensure data accuracy and trust.
Partner with Product, Data Science, and Growth teams to deliver data solutions that unlock insights.
Drive performance improvements and cost efficiency across the data stack.
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.