Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis. The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how BI can proactively improve companies. The team's mission is to "Protect the company, our community, and their data while empowering safe innovation". As part of the team, you will help measure and address Meta's largest security risks, mature the security products (e.g. vulnerability detection, IAM, asset management, threat detection, etc..), and help the company move faster.8+ years of experience in BI and Data Warehousing. Experience scaling and managing 3+ person teams. Communication and leadership experience, with experience initiating and driving projects. Project management experience. Data architecture experience. Experience in SQL or similar languages. Development experience in at least one object-oriented language (Python, Java, etc.). BA/BS in Computer Science, Math, Physics, or other technical fields. Knowledge of threat modeling, vulnerability assessment, and penetration testing Understanding of cloud security architecture and compliance (e.g., AWS, Azure, GCP) Experience with security-focused data engineering tools and technologies Experience with enabling measurement in infrastructure heavy products Experience with data sets, Hadoop, and data visualization tools. Experience in a consumer web or mobile company. Advanced degree