Staff Software Engineer – Data

Sony Interactive Entertainment

. Design, build, and operate large-scale distributed data systems powering real-time and near real-time analytics and data-driven applications across PlayStation .

Posted 10/16/2026full-timeRemote • United StatesLead💰 $198,200 - $297,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating large-scale distributed data systems, with a strong focus on real-time analytics and stream processing. Proficient in optimizing performance, ensuring reliability, and applying AI/ML techniques to enhance engineering workflows.

Highest-signal resume keywords

Large-Scale Distributed Systems DesignReal-Time Data ProcessingApache FlinkClickHouseTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonScalaStream ProcessingData ModelingQuery OptimizationPerformance TuningEvent-Driven Data PipelinesAI/ML TechniquesDistributed Analytics PlatformsProduction Operations

Soft Skills

MentoringTechnical StrategyCollaboration

Tools & Technologies

Apache Spark Structured StreamingApache DruidAWS MSKApache Kafka

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceEngineering

Industry Keywords

Real-Time AnalyticsData-Driven ApplicationsLakehouse ArchitecturesOperational ExcellenceRoot-Cause Analysis

Tech Stack

Tools & technologies

ApacheAWSDistributed SystemsKafkaPythonScalaSpark

About the role

Key responsibilities & impact

Design, build, and operate large-scale distributed data systems powering real-time and near real-time analytics and data-driven applications across PlayStation
Lead the architecture and evolution of the Real-Time Analytics Platform’s stream processing and analytics platforms
Own platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management
Build and optimize distributed data services using Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid
Integrate batch and streaming workloads using modern lakehouse architectures
Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity
Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization, and platform reliability
Mentor engineers through architecture, design, and code reviews
Partner with Product, Infrastructure, Security, Data Engineering, and Platform Engineering teams on technical strategy and scalable platform capabilities
Investigate and resolve complex production challenges and ensure high availability and operational excellence
Participate in production support and on-call rotation, lead incident response, conduct root-cause analysis, and implement reliability improvements
Evaluate emerging technologies and distributed data platforms and recommend investments
Lead roadmap initiatives, influence technical direction, and mentor engineers during the first 90 days

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering
Strong proficiency in Python
Experience with Scala is beneficial for supporting and evolving existing platform components
Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink, Apache Spark Structured Streaming, or equivalent distributed streaming technologies
Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse, Apache Druid, or equivalent high-performance OLAP/analytics databases
Experience with query optimization, data modeling, and performance tuning at scale
Experience building and consuming event-driven data pipelines using AWS MSK, Apache Kafka, or equivalent messaging platforms
Experience applying AI/ML techniques and modern AI tooling
Strong systems design skills across scalability, latency, throughput, consistency, reliability, and cost
Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams
Background checks at the offer stage for all new employees

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Matching 401(k)
Paid time off
Wellness program
Employee discounts for Sony products
Eligibility for a bonus package
Hybrid working policy