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About the role
Data Engineering Leader, Analytics (XF) at Meta
Required Skills
data warehousingsqlpythonhadoopdata visualizationdata architectureproject managementteam leadership
About the Role
Lead data engineering and analytics initiatives to build scalable data architecture and drive insights for over 1 billion daily users. Manage a team to develop data models, pipelines, and dashboards while ensuring data quality and alignment with product goals.Key Responsibilities
- Proactively drive the vision for BI and Data Warehousing across a product vertical
- Build and scale a high-quality BI and Data Warehousing team
- Lead the design, building, and launching of new data models and pipelines in production
- Ensure data quality across the product vertical and related business areas
- Manage the delivery of impactful dashboards and data visualizations
Required Skills & Qualifications
Must Have:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 9+ years of experience in BI and Data Warehousing
- 2+ years of experience managing managers
- Experience scaling and managing 10+ person teams
- Development experience in at least one object-oriented language (Python, Java, etc.)
Nice to Have:
- Experience in a consumer web or mobile company
- Experience with data sets, Hadoop, and data visualization tools
- Advanced Degree in Computer Science, Math, Physics, or other technical fields
Benefits & Perks
- bonus
- equity
- benefits