Lead Data Engineer

5 days ago

Apply Now

Receive Emails with Similar Jobs

ZORA

WebsiteLinkedInAll Job Openings

Zora is an on-chain social network and NFT protocol that reimagines how creators and communities interact online. Built on Ethereum and its own Layer 2 network within the Optimism Superchain, Zora enables users to create, collect, and share media directly on the blockchain. Every post is tokenized as a coin, turning content into an asset that can be traded while rewarding both creators and collectors. With its “Coins Protocol,” Zora supports creator-level and content-level tokens, giving creators built-in monetization tools without relying on centralized platforms.

11 - 50 employees

Founded 2020

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Remote-First Culture: Work from anywhere in the world! • Competitive Compensation: Including salary, pre-IPO stock options, token compensation, and additional financial incentives • Comprehensive Benefits: Robust healthcare options, including fully covered medical, dental, and vision for employees • Retirement Contributions: Up to 4% employer match on your 401(k) contributions • Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate • Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness • Home Office Reimbursement: To cover home office items, monthly home internet, and monthly cell phone (if applicable) • Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery • Career Development: Access to mentorship, training, and opportunities to grow your career • Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging