À propos
Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. ICDS Staff Data Engineer Location: San Mateo, CA PlayStation is for The Players. With over 150 million customers in 109 countries, Sony Interactive Entertainment (SIE) is committed to using data to understand The Players: our customers, better than anyone else. Using the networked power of PlayStation platforms, we learn how they use them for gaming, streaming services, payments, and how we can improve their customer experience. We work with game developers, marketing, R&D, PlayStationStore, and many other parts of Sony to constantly improve our customer experience and maximize our business potential. The ICDS DE team has grown rapidly and currently comprises approximately 170 staff across London and California, covering architecture and platform support, data processing, and technical program management. ICDS delivers data that powers Analytics, Data sciences, Marketing, ML, and multiple other teams across the PlayStation business: high quality, valuable to the user, accessible, and continuously improving. Responsibilities
Technical Leadership & Architecture Lead the design and evolution of
large-scale batch and real-time data platforms
using
Apache Spark, Flink, and Databricks Define
streaming and event-driven architectures
(low-latency, exactly-once, high-throughput) using
Flink and Scala Set architectural standards for
data reliability, scalability, observability, and cost efficiency Own end-to-end system design for
mission-critical data products , from ingestion to consumption Data Pipeline Development Build and maintain
high-performance data pipelines
in
Scala and Python
for both batch and streaming workloads Develop
real-time processing jobs
(windowing, stateful processing, joins) using
Flink Optimize
Spark jobs
for performance, cost, and data correctness on
Databricks Implement robust
data quality checks, schema evolution, and fault tolerance Platform & Operations Excellence Drive best practices for
CI/CD, automated testing, and deployment
of data pipelines Establish
monitoring, alerting, and SLAs
for data systems Lead efforts in
capacity planning, performance tuning, and cost optimization Partner with SRE / Platform teams on reliability, scaling, and incident response Ensure code is fully scalable, maintainable, and performant Cross-Functional Collaboration Work closely with
product managers, analytics, ML, and backend teams
to translate business requirements into scalable data solutions Enable downstream use cases including
analytics, reporting, experimentation, and machine learning Influence data modeling and contract design to ensure long-term platform sustainability Work proactively to address project requirements and communicate issues with lead time to address delivery risk Requires the ability to work in a global and multi-cultural environment with occasional travel Mentorship & Influence Mentor senior and mid-level data engineers; raise the technical bar across the organization Lead technical reviews, design discussions, and post-incident analyses Influence data engineering strategy across multiple teams or domains Act as a
go-to expert
for streaming systems, Spark optimization, and distributed data processing Governance, Security & Compliance Ensure data platforms adhere to
security, privacy, and compliance
requirements Define best practices for
data access control, lineage, and auditing Drive standardization around data formats, schemas, and lifecycle management Experience BS Degree in Engineering or Masters, Computer Science or equivalent experience 3-5+ years
in a technical leadership or staff-level role (design ownership, mentoring, architecture decisions) 10-12+ years
of hands-on experience building and operating large-scale data pipelines and platforms 10-12+ years
of relevant industry experience, including ownership of complex, high-impact data systems used at scale 10- 12+ years
of experience in database development, programming (Scala,Python) design, and analysis 10- 12+ years
of experience with distributed framework like Spark, Flink 5- 7+ years
of experience with streaming services - Flink, Kafka 10- 12+ years
of experience with data and ETL programming (Databricks, Ab Initio) 7- 10+ years
of experience with AWS services (EKS, S3, EC2, Kinesis, DynamoDB, Glue, Deequ, etc) 7- 10+ years
of experience in SQL and a variety of database technologies - Snowflake, Teradata and Oracle Experience in designing and architecting medium to complex systems, well versed with design standards & framework Expertise in data modeling
for analytics and operational use cases Experience with data lakes / lakehouse architectures
(e.g., Delta Lake) Strong understanding of schema evolution, data versioning, and data governance Experience with automation, configuration management, orchestration, enterprise schedulers Skills Required (essential): Recognized as a
technical authority
in data engineering within one or more domains (batch, streaming, lakehouse, analytics platforms) Deep hands-on expertise with Scala, Python, Spark, Flink, and Databricks , applied to
production systems at SIE scale Strong understanding of distributed systems design , trade-offs, and failure modes Ability to independently design complex, ambiguous systems
with long-term sustainability in mind Demonstrates end-to-end ownership
of critical data platforms or services, from design through production operations Drives engineering best practices for reliability, performance, cost efficiency, and data correctness Anticipates risks and proactively addresses scalability, operational, and data quality concerns Holds a high operational bar , ensuring systems meet SLAs and business expectations Leads or significantly influences architecture and design decisions
across teams or programs Sets technical direction and standards for data platforms, pipelines, and tooling Evaluates and introduces new technologies when they provide clear business or platform value Ensures architectural decisions align with SIE platform, security, and compliance standards Works effectively across multiple teams, disciplines, and organizations
(product, analytics, ML, platform, finance) Translates business and product strategy into scalable data solutions that enable revenue, engagement, and operational insights Acts as a trusted technical partner for stakeholders beyond the immediate team Mentors senior and mid-level engineers; raises the overall technical bar Leads design reviews, technical forums, and incident postmortems Influences outcomes through technical credibility, data-driven decision-making, and clear communication Models SIE engineering values and best practices Establishes standards for monitoring, alerting, observability, and on-call readiness Drives improvements in CI/CD, automation, and developer productivity
for data engineering Champions cost-awareness and efficiency across data platforms Other information #LI-KS1 Note : Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. Pay range: The estimated base pay range for this role is $216,200 $324,400 USD. This role may be eligible for SIE's benefits package and bonus where applicable. Base pay varies by location and other factors. Equal Opportunity Statement: Sony Interactive Entertainment is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender, race, religion, marital status, disability, age, sexual orientation, or other protected characteristics. #J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
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