Lead Data Engineer

About The Role:We’re looking for a Lead Data Engineer to build the data infrastructure that powers our Trade Platform. As our onchain social network scales, robust data systems are critical to processing billions of trading events, calculating real-time earnings, optimizing liquidity, and surfacing the right trading opportunities to our users. You’ll work at the intersection of blockchain data, high-volume trading systems, and consumer social products to build the data foundation that drives our creator economy.This is a high-impact role where you’ll own the end-to-end data architecture for trading, from analyzing blockchain events and user activity to serving real-time analytics to millions of users. What We’re Looking For: Required:7+ years of experiencein data engineering, with at least 2 years in a technical leadership roleStrong proficiency in Python and SQLfor building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling withengineering best practices.Strong experiencein designing, building, and maintainingcloud-based data pipelinesusing orchestration tools such asAirflow, Dagster, Prefect, Temporal, or similar.Hands-on experiencewith cloud data platforms (AWS, GCP, or Azure) and modern data stack toolsDeep understandingof data warehousing concepts and experience with platforms likeSnowflake, BigQuery, Redshift, or similarStrong software engineering fundamentalsincluding testing, CI/CD, version control, and writing maintainable, documented codeTrack record of optimizingdata systems for performance, reliability, and cost efficiency at scaleExcellent communication skillsand ability to collaborate with cross-functional teams including product, engineering, and design Highly Desirable:Familiarity withDeFi, trading platforms, or financial systemsand understanding of concepts like liquidity, orderbooks, and market dynamicsExperience working withblockchain data(e.g. event logs, on-chain indexing) and EVM-compatible chains (Ethereum, Base, etc.)Experience withdbt(macros, incremental models, canonical modeling, and schema management) for large-scale data systems.Experience with Dune Analytics forqueryingandvisualizingblockchain data.Experience withstreaming dataand event-driven architectures using tools like Kafka, Kinesis, Flink, or similarExperience using tools tomanage tasksand across teams such as Linear, Jira, Trello.Understanding ofproduct analytics frameworkssuch as funnel analysis, feature flags, A/B experiments, and how they drive product development and data architecture.Knowledge ofGraphQL APIsand how to build data systems that power themBackground inmarketplace or two-sided platformdata engineeringPassion for crypto, Web3, and the creator economy What We Value:Ownership mentality:You take end-to-end responsibility for systems you buildPragmatism:You balance technical perfection with shipping quickly and iteratingCuriosity:You dig deep to understand problems and explore creative solutionsClear communication:You can explain complex technical concepts to non-technical stakeholdersUser empathy:You understand how data systems impact product experiencesTeam growth:You elevate others through mentorship and knowledge sharing Pay Range: $185,000 – $225,000 base salary + equity + tokens Our Location:remote-first and international. Our headquarters are the internet and we have employees all over the world. We’re currently in Los Angeles, New York, San Francisco, Sydney, Berlin, Lisbon, and Vancouver.