Senior Data Engineer

Phantom
Senior Data Engineer
Формат работы: удалённо

Чем предстоит заниматься
-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

Наши пожелания к кандидатам
-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

Будет плюсом:
-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
-This ideal candidate will be a seasoned data professional who can architect solutions for our next phase of growth while maintaining the highest standards of data quality and performance, thriving in a lean two-person data team where resourcefulness and ability to prioritize high-impact work is essential

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