Senior Data Engineer

Phantom seeks a Senior Data Engineer for remote work to design scalable data architecture and lead data quality initiatives.

Architecture & Scale: Design and implement robust data architecture capable of handling 100s of TBs with 10x growth trajectory while maintaining performance and reliability. Data Quality Leadership: Drive data quality initiatives across the organization, implementing observability and monitoring solutions to ensure data accuracy, freshness, and reliability. Data Modeling Excellence: Lead sophisticated data modeling efforts to support exponential business growth, ensuring scalability and performance. Experimentation Infrastructure: Build and scale A/B testing frameworks to enable data-driven decision making across the organization. Cross-functional Partnership: Collaborate with stakeholders to translate complex business requirements into scalable data solutions. Technical Leadership: Mentor teams on data best practices and drive adoption of data-driven methodologies.

5+ years of extensive experience building and scaling data infrastructure in high-growth environments. Proven experience in startup environments with 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. Nice to have: Experience with our tech stack: Snowflake, dbt, Rudderstack, Sigma Computing, Metaplane, Eppo; Experience with blockchain or cryptocurrencies; History of improving dashboard performance and query optimization at scale; Experience implementing data cataloging and metadata management solutions.