Senior Data Architect and Engineering Manager

3 weeks ago


San Jose, California, United States Tik Tok Full time

About the Role

We are seeking a highly skilled and experienced Tech Lead Manager to lead our Ads Data platform team. As a key member of our engineering organization, you will be responsible for building and scaling our state-of-the-art streaming and batch data processing solutions.

The Ads Data platform team works closely with product managers and data analysts to deliver high-quality data solutions that support both our TikTok ads platform and internal business intelligence platform.

Key Responsibilities:

  • Be a highly technical architect and effective people manager, responsible for attracting and mentoring extraordinary people at various experience levels to grow a high-performing and diverse team.
  • Build strong collaboration with product and data science partners, define clear team vision, mission, and strategy, and explore new opportunities to empower business with scalable data solutions.
  • Effectively scale the engineering team by developing and implementing processes and tools to improve efficiency and productivity.

Requirements:

  • Hands-on experience in building scalable data solutions with big data processing and distributed storage engines, such as Hadoop, Spark, Flink, Elastic Search, Druid, ClickHouse, etc.
  • 5+ years of engineering leadership experience in a cross-functional and fast-paced environment.
  • Experience in managing a diverse team, especially with members based in different countries.
  • Good understanding of ads technology/product is helpful but not required.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy.

We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.


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