Senior Staff Data Engineer - Platform Data and Analytics

📋 Description Plan and execute scalable data projects; lead data architecture and scale. Guide planning with teams; balance urgent vs long-term goals. Mentor on ETL/ELT pipelines, data ingestion, warehousing, governance, and security. Define platform strategy, patterns, and cost-aware designs. Ensure data integrity, security, and monitoring across platforms. 🎯 Requirements Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, and workflow systems at scale. Build reliable, scalable data pipelines and analytics workflows. Strong SQL and Python; data warehousing at petabyte scale. Snowflake, Airflow, Spark experience; optimize performance and cost. Diagnose production data issues; enable self-serve data across multiple teams. Bachelor's degree in CS/Software Eng or equivalent; strong communication and leadership. 🎁 Benefits Move fast; own meaningful problems with globe-wide impact. Scale with enterprise AI tools to work smarter. Collaborative, ambitious teammates who care about craft. Competitive pay, equity, and comprehensive benefits. Inclusive culture with equal opportunity and growth.