About the role

Senior Data Engineer scaling blockchain, product analytics, and experimentation infrastructure for Phantom’s global open-markets trading app. Driving data quality and architecture across a remote team.

Responsibilities

Design and implement robust data architecture capable of handling hundreds of terabytes with a 10x growth trajectory while maintaining performance and reliability
Drive data quality initiatives across the organization, implementing observability and monitoring solutions to ensure data accuracy, freshness, and reliability
Lead sophisticated data modeling efforts to support exponential business growth, ensuring scalability and performance
Build and scale A/B testing frameworks to enable data-driven decision-making across the organization
Collaborate with Data Science, Product, Engineering, and other stakeholders to translate complex business requirements into scalable data solutions
Mentor teams on data best practices and drive adoption of data-driven methodologies

5+ years of experience building and scaling data infrastructure in high-growth environments
Proven experience in startup environments, with a track record of wearing multiple hats and driving initiatives independently
Deep expertise in modern data stack tools, particularly Snowflake and dbt
Strong background in data modeling, schema design, and data architecture at scale
Demonstrated experience implementing data quality frameworks and observability solutions
Experience building and scaling experimentation (A/B testing) infrastructure
Expert-level SQL skills and proficiency in Python
Track record of successfully managing data infrastructure during periods of explosive growth
Preferred: Experience with Snowflake, dbt, Rudderstack, Sigma Computing, Metaplane, and Eppo
Preferred: Experience with blockchain or cryptocurrencies
Preferred: History of improving dashboard performance and query optimization at scale
Preferred: Experience implementing data cataloging and metadata management solutions