Lead Data Platform Engineering Manager

TikTok Inc.; Seattle (WA); On-site; USD 198,000 - 416,000; Full time

Job summary

TikTok USDS Joint Venture LLC is seeking a Tech Lead Manager for the Data BP team to guide a group of data engineers responsible for stable, scalable data pipelines used by TikTok US apps. You will drive end-to-end data solutions, align with product and analytics teams, and ensure data quality and governance across a large-scale, compliant data platform.

The role emphasizes leadership, architectural standards, and cross-functional collaboration to support hundreds of millions of users in the US

Qualifications

• Bachelor's degree in Computer Science, Engineering or related technical field.
• 5+ years building and scaling enterprise-grade data platforms.
• 3+ years engineering leadership or management role overseeing technical teams.
• Hands-on experience with Hadoop, Spark, Flink, Druid, ClickHouse.
• Strong SQL and Python skills; excellent communication.

Responsibilities

• Lead and manage a team of data engineers, fostering technical excellence and ownership.
• Oversee project management and cross-functional collaboration for high-quality delivery.
• Design and build scalable big data platforms, pipelines and services for batch and real-time processing.
• Define and drive architecture standards including data modeling and data quality frameworks.
• Own end-to-end delivery of data solutions from design to deployment and optimization.
• Partner with Product, Analytics, Data Science and Engineering teams to translate requirements.
• Define metrics to measure performance and guide prioritization.

Skills

Leadership

Data platforms

Big data

SQL

Python

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

Hadoop

Spark

Flink

Druid

ClickHouse

Job description

TikTok USDS Joint Venture LLC is seeking a Tech Lead Manager for the Data BP team to guide a group of data engineers responsible for stable, scalable data pipelines used by TikTok US apps. You will drive end-to-end data solutions, align with product and analytics teams, and ensure data quality and governance across a large-scale, compliant data platform.

The role emphasizes leadership, architectural standards, and cross-functional collaboration to support hundreds of millions of users in the US