Data Engineering Manager - Analytics (Singapore)

Do you like working with data? Do you want to use data to help drive the direction of products that empowers people around you to do their best work? If yes, we want to talk to you. The modern workplace is evolving at lightning speed, Meta is evolving its products and policies in ways that address these challenges while maintaining the best parts of its culture. As part of Enterprise Products, you'll be building world class Enterprise products for Meta.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 insights. 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.

• Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
• Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
• Build a high-quality BI and Data Warehousing team and design the team to scale.
• Build cross-functional relationships with Data Scientists, Product Managers, User Experience Researchers and Software Engineers to understand data needs and deliver on those needs.
• Manage data warehouse plans across a product vertical.
• Drive the design, building, and launching of new data models and data pipelines in production.
• Manage the development of data resources and support new product launches.
• Drive data quality across the product vertical and related business areas.
• Define and manage SLA's for all data sets and processes running in production.
• Manage the delivery of high impact dashboards and data visualizations.
• Development experience in at least one object-oriented language (Python, Perl, Java, etc.).

• Communication and leadership experience, with experience initiating and driving projects.
• Project management experience.
• Experience scaling and managing 3+ person teams.
• 6+ years of experience in BI and Data Warehousing.
• Experience in SQL.
• Data architecture experience.
• BA/BS in Computer Science, Math, Physics, or other technical fields.

• Experience with building scalable data solutions
• Experience with Hive, Presto, data visualization tools (e.g., Tableau), and/or relational database management systems