Lead, Real-Time Data Platform & Analytics

Socket.dev; San Mateo (CA); On-site; USD 198,000 - 297,000; Full time

Job summary

Sony Interactive Entertainment is seeking a Staff Software Engineer – Data to drive the Real-Time Analytics Platform. You will design, build, and operate large-scale distributed data systems powering analytics across PlayStation, collaborating with Engineering, Product, Security, and Data teams to set technical strategy and improve platform reliability.

Ideal candidates have 8+ years in distributed systems, strong Python, and experience with Flink/Spark, ClickHouse, and Kafka.

Qualifications

• 8+ years designing and building large-scale distributed systems.
• Strong Python, production-grade distributed systems.
• Experience with Flink or Spark Streaming in production.
• OLAP experience with ClickHouse or Druid, performance tuning.
• Event-driven pipelines using Kafka/AWS MSK with reliable processing.
• Knowledge of AI/ML techniques to improve pipelines and productivity.
• Systems design focus on scalability, latency, and cost considerations.
• Leadership: architecture ownership, mentoring, cross-team influence.

Responsibilities

• Design, build, and operate large-scale distributed data systems powering real-time analytics.
• Lead architecture and evolution of RTAP, improving scalability, reliability, and performance.
• Own end-to-end platform capabilities from design through production operations.
• Build and optimize data services using Flink, Spark, ClickHouse, and Druid.
• Mentor engineers and establish engineering standards for platform reliability.

Skills

Python

Scala

Flink

Spark

ClickHouse

Druid

Kafka

MSK

AI/ML

Distributed systems

Education

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

Job description

Sony Interactive Entertainment is seeking a Staff Software Engineer – Data to drive the Real-Time Analytics Platform. You will design, build, and operate large-scale distributed data systems powering analytics across PlayStation, collaborating with Engineering, Product, Security, and Data teams to set technical strategy and improve platform reliability.

Ideal candidates have 8+ years in distributed systems, strong Python, and experience with Flink/Spark, ClickHouse, and Kafka.