Responsibilities:

  • Design and implement robust data architecture capable of handling hundreds of terabytes and 10x growth while maintaining performance and reliability.
  • Lead data quality initiatives, including observability and monitoring to ensure data accuracy, freshness, and reliability.
  • Lead data modeling efforts to support business growth, scalability, and performance.
  • Build and scale A/B testing frameworks.
  • Collaborate with stakeholders to translate business requirements into scalable data solutions.
  • Mentor teams on data best practices and promote data-driven methodologies.

Requirements:

  • 5+ years of experience building and scaling data infrastructure in high-growth environments.
  • Startup experience, with a track record of independently driving initiatives and taking on multiple responsibilities.
  • Deep expertise in modern data stack tools, particularly Snowflake and dbt.
  • Strong background in data modeling, schema design, and large-scale data architecture.
  • Experience implementing data quality frameworks, observability solutions, and experimentation infrastructure.
  • Expert-level SQL and proficiency in Python.
  • Experience managing data infrastructure during periods of rapid growth.
  • Experience with Rudderstack, Sigma Computing, Metaplane, or Eppo; blockchain or cryptocurrencies; dashboard performance and query optimization; data cataloging and metadata management is a plus.
  • Ability to thrive in a lean two-person data team, prioritize high-impact work, and maintain high standards of data quality and performance.