Senior Data Platform Engineer - AI-Driven, Spark & OLAP

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 187,000 - 438,000

Full time

48 hours ago
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Job summary

TikTok USDS Joint Venture in San Jose, CA is seeking a Senior Engineer to lead efficiency, stability, and AI-driven innovation of its data platform. You will optimize Spark, ClickHouse, and Doris workloads at petabyte scale, driving cost savings and performance.

The role includes building AI-powered automation for data pipelines, mentoring engineers, and shaping the technical roadmap while staying aligned with security and reliability priorities for our U.S. data ecosystem.

Qualifications

  • BS/MS in Computer Science, Engineering, or a related technical field.
  • 3+ years of experience building and maintaining large-scale distributed systems.
  • In-depth knowledge of Apache Spark, ClickHouse or Doris.

Responsibilities

  • Optimize Apache Spark performance and resource utilization at petabyte scale.
  • Enhance ClickHouse and Doris OLAP systems with storage-compute separation and query optimizations.
  • Implement AI-driven resource allocation and cost optimization strategies.
  • Develop automated job diagnosis and failure analysis systems using AI/ML techniques.
  • Build intelligent monitoring and self-healing capabilities for data pipelines.
  • Create AI-powered tools for query optimization and data discovery.
  • Design robust disaster recovery and data integrity mechanisms.
  • Integrate AI/ML capabilities to enhance platform efficiency and developer productivity.
  • Drive technical roadmap and mentor junior engineers.
  • Explore new technologies at the intersection of distributed systems and AI.

Skills

Distributed Systems
Apache Spark
ClickHouse
Doris
Kafka
Flink
Kubernetes
AI/ML systems
3+ years experience

Education

BS/MS in Computer Science/Engineering

Tools

Apache Spark
ClickHouse
Doris

Job description

TikTok USDS Joint Venture in San Jose, CA is seeking a Senior Engineer to lead efficiency, stability, and AI-driven innovation of its data platform. You will optimize Spark, ClickHouse, and Doris workloads at petabyte scale, driving cost savings and performance.

The role includes building AI-powered automation for data pipelines, mentoring engineers, and shaping the technical roadmap while staying aligned with security and reliability priorities for our U.S. data ecosystem.

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