Staff Software Engineer – Data
PlayStation Global3 hours ago
Base Salary
$198k - $297k/yr
Responsibilities
- Design, build, operate, and optimize large-scale distributed data systems for real-time and near-real-time analytics.
- Lead the architecture and evolution of the Real-Time Analytics Platform’s stream-processing and analytics capabilities.
- Own platform capabilities end-to-end from architecture and implementation through production operations, reliability, performance optimization, and lifecycle management.
- Build distributed data services using Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid.
- Integrate batch and streaming workloads through modern lakehouse architectures in partnership with Data Engineering teams.
- Build AI-powered capabilities to improve engineering workflows, data quality, platform operations, troubleshooting, and developer productivity.
- Establish standards and best practices for distributed systems, stream processing, data modeling, query optimization, and platform reliability.
- Mentor engineers, review architecture and code, influence technical strategy, and lead cross-team architectural decisions.
- Investigate production issues, participate in on-call and incident response, conduct root-cause analysis, and implement reliability improvements.
- Evaluate emerging distributed-data technologies and recommend investments that improve scalability, reliability, productivity, and cost efficiency.
Requirements
- 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 involving real-time data processing, analytics, or data platform engineering.
- Strong proficiency in Python for production-grade distributed systems and data-processing applications; Scala experience is beneficial.
- Hands-on experience designing and operating stream-processing applications with Apache Flink, Apache Spark Structured Streaming, or equivalent technologies.
- Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse, Apache Druid, or equivalent OLAP and analytics databases.
- Experience building and consuming event-driven data pipelines with AWS MSK, Apache Kafka, or equivalent messaging platforms.
- Experience applying AI/ML techniques and modern AI tooling to engineering workflows, data pipelines, platform operations, and developer productivity.
- Strong systems-design skills covering scalability, latency, throughput, consistency, reliability, and cost trade-offs.
- Demonstrated technical leadership through architecture ownership, mentoring, and cross-team technical influence.
- Experience with Databricks, Apache Iceberg, or modern lakehouse architectures is preferred.
- Experience with multi-tenant, self-service data platforms and globally distributed engineering teams is preferred.
Benefits
- Medical, dental, and vision coverage.
- Matching 401(k).
- Paid time off and a wellness program.
- Employee discounts on Sony products.
- Potential eligibility for a bonus package.
- Hybrid working policy applies, with base pay determined partly by location and job-related factors.
- Background checks are conducted at the offer stage.
Tech Stack
Categories
BackendData Engineering