Key skills
Data WarehousingBusiness IntelligenceData ArchitectureProject ManagementData Querying LanguagesObject-Oriented ProgrammingTeam ManagementAnalytical SkillsData VisualizationCross-Functional CollaborationCommunication SkillsPythonJavaSQLData EngineeringAnalyticsBIHadoopLeadershipProduct Management
About this role
Meta builds technologies that help people connect, find communities, and grow businesses. They are seeking a Data Engineering Manager to lead a team focused on Business Intelligence and Data Warehousing, driving insights that inform product launches and enhance user satisfaction.
Responsibilities:
- Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
- Build and lead a high-quality BI and Data Warehousing team, designing it to scale
- Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
- Manage data warehouse plans, drive data quality, and ensure operational efficiency
- Design, build, and launch new data models and pipelines in production
- Deliver high-impact dashboards and data visualizations
- Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
- Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
Requirements:
- A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
- 8+ years of experience in BI and Data Warehousing
- Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
- Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
- Experience communicating results of analysis to executive leadership
- Project management experience
- Data architecture experience
- Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
- 2+ years of experience managing people with experience scaling and managing 3+ person teams
- Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
- Experience with data sets, Hadoop, and data visualization tools
- Experience in a consumer web or mobile company
- Advanced degree