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