Lead Data Engineer
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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 proficiency in Python and SQL • 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. • cloud-based data pipelines • 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 • Deep understanding • Snowflake, BigQuery, Redshift, or similar • Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code • Strong software engineering fundamentals • Track record of optimizing data systems for performance, reliability, and cost efficiency at scale • Track record of optimizing • Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design • Highly Desirable: • Highly Desirable: • Familiarity with DeFi, trading platforms, or financial systems and understanding of concepts like liquidity, orderbooks, and market dynamics • DeFi, trading platforms, or financial systems • Experience working with blockchain data (e.g. event logs, on-chain indexing) and EVM-compatible chains (Ethereum, Base, etc.) • blockchain data • Experience with dbt (macros, incremental models, canonical modeling, and schema management) for large-scale data systems. • Experience with Dune Analytics for querying and visualizing blockchain data. • querying • visualizing • Experience with streaming data and event-driven architectures using tools like Kafka, Kinesis, Flink, or similar • streaming data • Experience using tools to manage tasks and across teams such as Linear, Jira, Trello.
Responsibilities
• 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 • Design and build scalable data pipelines • Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform • Architect and maintain data infrastructure • 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 • Own ETL/ELT processes • 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) • Build and optimize data models and schemas • Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale • Establish data quality frameworks • Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems • Collaborate with backend engineers • Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions • Partner with product and analytics teams • Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform • Provide technical leadership • Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes • Optimize performance and costs • Understanding of product analytics frameworks such as funnel analysis, feature flags, A/B experiments, and how they drive product development and data architecture. • product analytics frameworks • Knowledge of GraphQL APIs and how to build data systems that power them • GraphQL APIs • Background in marketplace or two-sided platform data engineering • marketplace or two-sided platform • Passion for crypto, Web3, and the creator economy • What We Value: • Ownership mentality: You take end-to-end responsibility for systems you build • Ownership mentality: • Pragmatism: You balance technical perfection with shipping quickly and iterating • Pragmatism: • Curiosity: You dig deep to understand problems and explore creative solutions • Curiosity: • Clear communication: You can explain complex technical concepts to non-technical stakeholders • Clear communication: • User empathy: You understand how data systems impact product experiences • User empathy: • Team growth: You elevate others through mentorship and knowledge sharing • Team growth:
Benefits
• At Zora, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is: • This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. • We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Zora will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process. • US-based, full-time employees are eligible for the following: • Remote-First Culture: Work from anywhere in the world! • Remote-First Culture: • 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 • Retirement Contributions: • Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate • Health & Wellness: • Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness • Unlimited Time Off: • Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery • Ease of Life Reimbursement: • Career Development: Access to mentorship, training, and opportunities to grow your career • Career Development: • Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging • Inclusive Environment: • Our Location: • Our Location: • Zora is 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.