Staff Data Platform Engineer - Real-Time Analytics

OpenKrill; United States; Hybrid; USD 180.000 - 260.000; Vollzeit

Zusammenfassung

Sony Interactive Entertainment is seeking a Staff Software Engineer – Data to lead the Real-Time Analytics Platform (RTAP). You will design, build, and operate high-throughput data systems, mentor engineers, and drive architectural choices across PlayStation data platforms.

You will partner with Data Engineering, Infrastructure, and Product teams to deliver scalable, reliable analytics capabilities and AI-powered automation for engineering workflows.

Qualifikationen

• Bachelor’s degree or equivalent practical experience in CS/engineering.
• 8+ years designing and building large-scale distributed systems with real-time data processing.
• Proficiency in Python; Scala is a plus for supporting platform components.

Aufgaben

• Design, build, and operate large-scale distributed data systems powering real-time analytics.
• Lead architecture and evolution of RTAP’s streaming and analytics platforms for scalability and reliability.
• Own platform capabilities end-to-end from design to production operations and performance tuning.
• Mentor engineers, review designs, and raise technical standards across teams.
• Partner with Product, Infrastructure, Security, and Platform teams to set technical strategy.

Kenntnisse

Python

Distributed systems

Real-time analytics

Leadership

System design

Mentoring engineers

Architectural decisions

Ausbildung

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

Tools

Apache Flink

Spark Structured Streaming

ClickHouse

Apache Druid

AWS MSK / Kafka

Databricks

Apache Iceberg

Jobbeschreibung

Sony Interactive Entertainment is seeking a Staff Software Engineer – Data to lead the Real-Time Analytics Platform (RTAP). You will design, build, and operate high-throughput data systems, mentor engineers, and drive architectural choices across PlayStation data platforms.

You will partner with Data Engineering, Infrastructure, and Product teams to deliver scalable, reliable analytics capabilities and AI-powered automation for engineering workflows.