Senior Data Platform Lead — Video Pipelines

TikTok Inc.

San Jose (CA)

In loco

USD 209.000 - 438.000

Tempo pieno

5 giorni fa
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Descrizione del lavoro

TikTok USDS Joint Venture LLC is seeking an experienced tech lead manager for the Video Platform Data team. The role focuses on building and operating scalable data pipelines, ensuring data quality, and guiding data strategy for billions of users worldwide.

You will own end-to-end delivery from design to deployment, collaborate with product, business, and SRE teams, and drive cost optimization and performance improvements across video services.

Competenze

  • Bachelor's degree in Computer Science, Engineering or related technical field, or equivalent experience.
  • 5+ years of experience building and scaling enterprise-grade data platforms in large scale distributed data systems with at least 3+ years in engineering leadership overseeing technical teams.
  • Hands-on experience with big data processing and distributed storage (Hadoop/HDFS, YARN, Spark, Flink, Hive, ClickHouse).
  • Strong proficiency in SQL and Python for data processing and analytics.
  • Knowledge of data pipeline/workflow tools (Airflow, Luigi).
  • Deep understanding of data architectures including data lakes, data warehouses and lakehouse.

Mansioni

  • Lead and manage a team of data engineers, data analysts and data SRE.
  • Oversee project management and cross functional collaboration for high-quality delivery.
  • Design and build scalable real-time and batch data pipelines.
  • Optimize large-scale data processing systems for performance and cost efficiency.
  • Define and drive data architecture standards and data quality frameworks.

Conoscenze

Data engineering
Data pipelines
SQL
Python
Leadership
Cross-functional leadership

Formazione

Bachelor's in CS/Engineering or related

Strumenti

Hadoop
HDFS
Spark
Flink
Hive
ClickHouse
Airflow
Luigi

Descrizione del lavoro

TikTok USDS Joint Venture LLC is seeking an experienced tech lead manager for the Video Platform Data team. The role focuses on building and operating scalable data pipelines, ensuring data quality, and guiding data strategy for billions of users worldwide.

You will own end-to-end delivery from design to deployment, collaborate with product, business, and SRE teams, and drive cost optimization and performance improvements across video services.

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