Lead Data Engineer, Zora labs

• 7+ years of experience in data engineering, with at least 2 years in a technical leadership role
• Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices
• Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar
• Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
• Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
• Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
• Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
• Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design
• Ownership mentality: You take end-to-end responsibility for systems you build
• Pragmatism: You balance technical perfection with shipping quickly and iterating
• Curiosity: You dig deep to understand problems and explore creative solutions
• Clear communication: You can explain complex technical concepts to non-technical stakeholders
• User empathy: You understand how data systems impact product experiences
• Team growth: You elevate others through mentorship and knowledge sharing

Desirable

• 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
• Design and build scalable data pipelines to ingest, process, and transform blockchain data, trading events, user activity, and market signals at high volume and low latency
• Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform
• Own ETL/ELT processes that transform raw onchain data from multiple blockchains into clean, reliable, and performant datasets used by product, engineering, analytics, and ML teams
• Build and optimize data models and schemas that support both operational systems (serving live trading data) and analytical use cases (understanding market dynamics and user behavior)
• Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale
• Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems
• Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions
• Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform
• Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes