10+ years of experience across data engineering, analytics, BI, or data science 5+ years leading teams at high-growth SaaS, adtech, or consumer tech companies Proven experience building and scaling data platforms (warehouse, ETL/ELT, modeling, governance) Proven ability to influence engineering and product architecture Strong proficiency in SQL and Python Hands-on experience with dbt, Airflow, Hex, Tableau, Looker (or equivalent modern data tools) Experience building analytical models, experimentation frameworks, and performance dashboards Familiarity with cloud environments such as AWS or GCP Familiarity with emerging ML/AI toolchains Excellent communication skills