Описание

This role involves architecting data solutions for growth while maintaining high data quality and performance, thriving in a lean two-person data team where resourcefulness and ability to prioritize high-impact work is essential.

Responsibilities

Design and implement robust data architecture capable of handling 100s of TBs with 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 stakeholders to translate complex business requirements into scalable data solutions
Mentor teams on data best practices and drive adoption of data-driven methodologies

Requirements

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

We offer

Remote work format

Hiring process

Apply via the provided link