Senior Data Engineer

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