Senior Platform Analytics Engineer

📋 Description Partner with internal customers across business verticals to build capabilities. Improve patterns and evolve foundational datasets for analytics. Lead scalable data models and pipelines; define architecture and roadmaps. Tackle data quality, integrity, and governance for reliable insights. Plan and execute projects that scale; contribute to analytics architecture. Balance urgent needs with long-term goals through planning. 🎯 Requirements Strong SQL and Python; design data models; optimize queries. Experience building platform/foundational datasets for internal use. Analytics engineering focus on data modeling and large-scale processing. Experience with Airflow, dbt; Snowflake experience valuable. Knowledge of data warehousing concepts, ETLs, big data tech. Bachelor's degree in CS/Engineering or equivalent. 🎁 Benefits Move fast with meaningful problems serving global customers. Equity and comprehensive benefits. Hybrid work: 3 office days/week plus remote weeks; flexible schedule. Belonging: inclusive culture and equal opportunity. Global presence with SF HQ and multiple offices.