Technical Lead Manager, Data Engineering - USDS (Multiple Positions)

About TikTok U.S. Data Security
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this
commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, 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 communities we serve.
Join us.

About the Team
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
- Provide technical guidance to Data Engineering team in designing, implementing, and maintaining reliable, scalable, robust, and extensible big data systems that will be used to make smarter business decisions to support business growth.
- Craft optimal data processing architecture and systems for new data and ETL pipelines.
- Analyze and improve real-time communication data pipeline quality, such as data optimize, service stabilities, and high availability.
- Design, build, and maintain data transformations efficiently and reliably for designated purposes (e.g. reporting, growth analysis, multi-dimensional analysis).
- Investigate and integrate emerging big data technologies into existing requirements.
- Recommend different ways to constantly improve data reliability and quality.
- Establish solid design and best engineering practice for engineers as well as non-technical people.
- Define and drive mid/long term technical roadmap based on the key opportunities in business growth and industry technology trends.
- Define and establish team's tech stack and standards, drive for engineering excellence and best practices.
- Work with product and business to define data strategy and drive for product based and scalable data solutions to empower business.Qualifications
Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related field, and 3 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Statistics, Mathematics, or a related field, and 6 years of related work experience, out of which 5 years must be post-bachelor's, progressive related work experience.

Of the required experience, must have 3 years of experience in each of the following:
- Designing and modeling data warehouse to support data analytics, reporting, and data applications;
- Estimating SLAs for the data pipeline, and triaging and debugging data infrastructure issues;
- Performing data analysis, design, and development of highly efficient, reliable, and scalable ETL applications using SQL, C#, and Python;
- Transforming big data using Spark and M/R (map reduce) for data insights, reporting, and analytics, and transferring data to Hadoop Distributed File System (HDFS) using Sqoop;
- Building data pipelines and implementing partitioning and bucketing in hive to organize and query data, and performing query tuning to improve the speed of daily user analytics and reports;
- Performing code changes and reviews using Git version control and performing workflow management using JIRA; and
- Automating system maintenance and deployment tasks by creating and scheduling cron jobs using Shell script.


Employer: TikTok U.S. Data Security Inc.
Type: Full time, 40 hours/week
Location:Mountain View, CA

Salary Range: $224000 - $410000 per year

To Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website.

TikTok U.S. Data Security 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 U.S. Data Security, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok U.S. Data Security 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. If you need assistance or a reasonable accommodation, please reach out to us at lpresumes@tiktokusds.com.

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