Staff Software Engineer – Data
PlayStation Global5 hours ago
San Mateo, CA, USAStaff+
Base Salary
$198k - $297k/yr
Responsibilities
- Design, build, and operate large-scale distributed data systems for real-time and near-real-time analytics and data-driven applications.
- Lead the architecture and evolution of stream-processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
- Own critical platform capabilities end-to-end, including architecture, implementation, production operations, 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 through modern lakehouse architectures in partnership with Data Engineering teams.
- Build AI-powered capabilities that improve data quality, platform operations, troubleshooting, engineering workflows, and developer productivity.
- Establish technical standards and best practices for distributed systems, stream processing, data modeling, query optimization, and platform reliability.
- Mentor engineers through architecture, design, and code reviews and provide technical leadership across the organization.
- Partner with Product, Infrastructure, Security, and Platform Engineering teams on technical strategy and scalable platform capabilities.
- Investigate and resolve complex production issues, participate in on-call rotation, lead incident response, conduct root-cause analysis, and implement reliability improvements.
- Evaluate emerging distributed data technologies and recommend investments related to scalability, reliability, productivity, and cost efficiency.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- At least 8 years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
- Strong Python proficiency and experience building production-grade distributed systems and data-processing applications.
- Experience with Scala is beneficial for supporting and evolving existing platform components.
- 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 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 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 influencing technical decisions across multiple teams.
- Experience with Databricks, Apache Iceberg, or modern lakehouse architectures is preferred.
- Experience building or operating multi-tenant, self-service data platforms is preferred.
- Experience collaborating with globally distributed engineering teams is preferred.
Benefits
- Medical, dental, and vision benefits.
- Matching 401(k).
- Paid time off and wellness program.
- Employee discounts on Sony products.
- Potential eligibility for a bonus package.
- Hybrid working policy; individual base pay may vary based on job-related factors and location.
- Background checks are conducted at the offer stage.
Tech Stack
Categories
BackendData Engineering