Big Data Global Manager

6 days ago


Singapur, Singapore TikTok Full time
About the Team

This role is a key member of our Data Platform team, focusing on delivering innovative data products and solutions to support TikTok's business growth. As a Big Data Global Manager, you will leverage our cutting-edge data infrastructure and expertise to empower enterprise customers with next-generation data warehousing and analytics capabilities.

Responsibilities
  • Align with TikTok business teams to understand their goals, strategies, and roadmaps, and provide data-driven insights to inform business decisions.
  • Lead and manage Data Engineering teams, developing and executing plans to achieve team goals and objectives.
  • Establish and maintain development guidelines, standards, and best practices for data engineering.
  • Ensure the high stability, scalability, efficiency, security, and low latency of our data platform and pipeline.
  • Define standards and guidelines for data engineering development and operations.
  • Promote a culture of innovation and excellence within the team, staying up-to-date with emerging technologies and digital trends relevant to TikTok's goals.
  • Hire, develop, evaluate, reward, and retain a highly productive and innovative team.
  • Oversee the acquisition and development of software systems, monitoring results and quality of implemented solutions.
  • Provide technical expertise on software and platform feature development, ensuring security and risk considerations.
Requirements
  • Proficiency in data warehousing, data lake theory, and methodology.
  • Proficiency in data management, data governance, and data architecture design.
  • Proven experience in managing a big data engineering team.
  • Preferred qualifications: Bachelor's degree in Computer Science, Mathematics, or relevant disciplines; minimum 5 years of experience in Big Data Tech Stacks; proficiency in coding skills (SQL/Python/Java/Scala); experience leading large-scale projects/initiatives requiring complex cross-team collaborations.


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