Phantom предлагает senior-роль с ответственностью за масштабную data-инфраструктуру, современными инструментами и хорошими льготами, но зарплата не указана, а команда из двух человек может означать широкий круг задач.
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Мало людейЗарплата не указанаАктуальный стекКриптофинтехХорошие льготы
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Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Crypto): Building and scaling data infrastructure for analytics, experimentation, and decision-making by combining blockchain data, product analytics, and marketing integrations with an accent on scalable architecture, data quality, and sophisticated data modeling. Focus on handling 100s of TBs with 10x growth, building A/B testing infrastructure, and optimizing reliability and performance across onchain data systems.
Location: Remote
Company
Phantom builds a self-custody financial application for accessing open markets, including perpetuals, prediction markets, tokenized assets, stablecoins, and memes. The company is a fully remote, approximately 180-person startup backed by a $150M Series C investment.
What you will do
Design and implement robust data architecture capable of handling hundreds of terabytes with a 10x growth trajectory while maintaining performance and reliability.
Lead data quality initiatives, including observability and monitoring for accuracy, freshness, and reliability.
Lead sophisticated data modeling and schema design to support business growth, scalability, and performance.
Build and scale A/B testing infrastructure for data-driven decision-making.
Collaborate with Data Science, Product, Engineering, and other stakeholders to translate 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.
Experience working in startup environments, 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 and A/B testing infrastructure.
Expert-level SQL skills and proficiency in Python.
Track record of managing data infrastructure during periods of explosive growth.
Experience with Snowflake, dbt, RudderStack, Sigma Computing, Metaplane, and Eppo; blockchain or cryptocurrency experience; dashboard performance improvement and query optimization at scale; and data cataloging and metadata management solutions.
Culture & Benefits
Fully remote environment with flexible hours and a supportive, lean two-person data team.
Work on products used by tens of millions of people and help make financial markets more accessible.
Inclusive workplace focused on diverse perspectives and user control, security, and self-custody.
Competitive salary and equity.
Medical, dental, and vision insurance with the base plan 100% covered, plus a 401(k) retirement plan.
Unlimited vacation, wellness and weekly meal stipends, learning and development support, and a remote work setup stipend.
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