8+ years of experience designing, building, and scaling data systems—spanning pipelines, warehouses, and analytical data products Proven technical leadership in architecting and evolving complex data ecosystems, including ownership of data models, transformation frameworks, and integrations Advanced proficiency in SQL and Python Deep experience with modern data stacks, including cloud-native warehouses (e.g., BigQuery or Snowflake), orchestration tools (Airflow or equivalent), and transformation frameworks (dbt or similar) Strong system design and architecture mindset, able to reason about scalability, cost, and performance trade-offs, and define long-term data strategy Exceptional collaboration and influence skills, partnering effectively with Marketing Engineering, Analytics, and Data Science Strong sense of ownership and accountability, balancing hands-on technical execution with the ability to mentor others, raise standards, and drive organization-wide improvements in data quality and reliability