Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

In this role, you will be working as part of the Public Content Monetization team whose mission is to bring the best content for our users by enabling good, high-quality content creators (partners) to monetize. You will be leading the effort to build a strong data foundation for understanding the intersections of partner, user, and advertiser experiences in order to inform decisions on Facebook's partner monetization product offerings - and to ultimately bring more engaging content for our users around the globe. You will have the opportunity to work on some of the most challenging problems that cut across all of our products, create scalable solutions that benefit multiple teams, and collaborate with leadership to set the data vision and strategy for data engineering.

• Drive data vision and strategy for an entire team of Data Engineers
• Build data road-maps and setting technical direction for others to follow
• Work on big projects across multiple product teams, and with a wide range of stakeholders
• Design, build and own the optimal data processing architecture and systems for new data and ETL pipelines, dashboards and experimentation metrics
• Build data anomaly detection, data quality checks, and optimize pipelines for ideal compute and storage
• Collaborate with cross functional partners including data scientists, product managers and software engineers and the Public Content Monetization leadership to design and develop end to end data assets
• Recommend improvements and modifications to existing data and ETL pipelines
• Communicate and influence strategies and processes around data modeling and architecture to multi-functional groups and leadership
• Drive internal process improvements and automating manual processes for data quality and SLA management

• 5+ years experience in SQL and data processing
• 7+ years experience in data modeling and how to design scalable data architecture
• 7+ years experience in building out solutions for huge and complex datasets
• 5+ years experience working with multiple cross-functional teams
• 5+ years experience building data road-maps and setting technical direction for others to follow

• Proficiency coding in Python, Java, or Hack
• Experience in data visualization and dashboard design
• Experience with experimentation frameworks (A/B testing, etc.)
• Deep knowledge of MPP systems (Presto, Spark, BigQuery, Redshift, etc.)
• Some leadership experience (as a tech lead, manager, or mentor)