Data Engineering Manager - Data Infra, TikTok Privacy & Security
San Jose, California, United States
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.
The team aim to enhance privacy and security worldwide, tackling the unprecedented compliance challenges. We drive privacy initiatives across big data realms, utilizing different approaches. The landscape of privacy and security is measured, analyzed and then enhanced by data. It's becoming a company wide key initiative, with its impact visible in public media. Your contributions will have a profound impact on billions of users and promote the societal benefits of "data for good".
Responsibilities
• Lead a team developing a data warehouse and infrastructure powering privacy and security efforts
• Drive the vision for data engineering efforts and define and execute roadmap to achieve it
• Collaborate with engineers, product managers and legal teams to understand data needs, presenting key data insights
• Influence cross-functional teams to identify data opportunities
• Manage to build high quality data architecture, warehouses and data visualizations
• Partner with recruiting teams to hire world-class engineers and grow them to form a high-performance team
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.
The team aim to enhance privacy and security worldwide, tackling the unprecedented compliance challenges. We drive privacy initiatives across big data realms, utilizing different approaches. The landscape of privacy and security is measured, analyzed and then enhanced by data. It's becoming a company wide key initiative, with its impact visible in public media. Your contributions will have a profound impact on billions of users and promote the societal benefits of "data for good".
Responsibilities
• Lead a team developing a data warehouse and infrastructure powering privacy and security efforts
• Drive the vision for data engineering efforts and define and execute roadmap to achieve it
• Collaborate with engineers, product managers and legal teams to understand data needs, presenting key data insights
• Influence cross-functional teams to identify data opportunities
• Manage to build high quality data architecture, warehouses and data visualizations
• Partner with recruiting teams to hire world-class engineers and grow them to form a high-performance team
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Leadership Jobs
Tags: Architecture Big Data Data warehouse Engineering Privacy Security
Region:
North America
Country:
United States
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