Staff Software Engineer – Data
PlayStation Global4 hours ago
San Mateo, CA, USAStaff+
Base Salary
$198k - $297k/yr
Responsibilities
- Design, build, and operate large-scale distributed data systems supporting real-time and near-real-time analytics and data-driven applications.
- Lead the architecture and evolution of stream-processing and analytics platforms to improve scalability, reliability, performance, and developer productivity.
- Own critical platform capabilities from architecture and implementation through 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, and engineering 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, Platform Engineering, and Data Engineering teams on technical strategy and scalable platform capabilities.
- Investigate production issues, lead incident response and root-cause analysis, participate in on-call support, 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.
- At least 8 years of experience designing and building large-scale distributed systems focused on real-time data processing, analytics, or data platform engineering.
- Strong proficiency in Python and experience building production-grade distributed systems and data-processing applications.
- 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 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 across scalability, latency, throughput, consistency, reliability, and cost trade-offs.
- Demonstrated technical leadership through architecture ownership, mentoring, and cross-team technical influence.
- Experience with Scala is beneficial.
- Experience with Databricks, Apache Iceberg, modern lakehouse architectures, multi-tenant self-service data platforms, and globally distributed engineering teams is beneficial.
Benefits
- Medical, dental, and vision insurance.
- Matching 401(k), paid time off, and a wellness program.
- Employee discounts for Sony products.
- Eligible bonus package.
- Hybrid working policy may affect the base pay range.
- Employment is subject to background checks at the offer stage.
Tech Stack
Categories
BackendData Engineering