Data Engineer Manager

4 days ago

San Jose, California, United States Tik Tok Full time
About the Role:

The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs.

Data Solutions Team uses structured and unstructured data to guide and uncover insights, turning our findings into real products to power exponential growth.

Data Solutions Team's responsibilities include infrastructure construction, recognition capabilities management, and global labeling delivery management.

As a Lead Data Engineer, you will be responsible for 0-to-1 build of both the team and the data pipeline.

You will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation.

You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.

Additionally, you will provide technical guidance, mentorship, and support to junior team members.

Responsibilities:

  • Architect efficient, scalable, and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data.
  • Define the technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluate and bring in industry best practices and state-of-the-art technical approaches, and timely update the strategy according to the rapid change of the industry.
  • Build and lead a high-performing data engineering team with a clear strategy, providing business, technical, and personal development coaching.
  • Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches.
  • Foster a collaborative and inclusive team culture within and across teams, collaborate with data scientists.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5 years of experience in data engineering, with demonstrated expertise in building scalable data pipelines and infrastructure.
  • 5 years of experience in programming languages such as Python, SQL, and Java.
  • Strong understanding of database systems, data warehousing, and distributed computing concepts.
  • Excellent leadership, communication, and interpersonal skills.
  • Proven track record of leading teams and delivering complex data engineering projects.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.

Preferred qualifications:

  • 3 years of experience with big data technologies such as Apache Spark, Hadoop, and Kafka.

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.

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 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.

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