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Staff Data EngineerPlayStation GlobalUnited States

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Staff Data Engineer

PlayStation Global
  • US
    United States
  • US
    United States

Über

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 PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, 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.
Staff Data Engineer (ICDS)
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 amazing networked power of PlayStation®5 and our other PlayStation systems, we learn how they use them for gaming, and also how they use the networked services like streamed games, music, video, and how they pay, and how we can improve their customer experience. We work with game developers, marketing, R&D, PlayStation®Store, and many other parts of Sony to constantly improve our customer experience and maximize our business potential.
The ICDS DE team has grown rapidly over recent years in response to an increasing need for the business to leverage data to inform and shape key decisions, and to identify new opportunities. Currently, there are approximately 170 staff within the ICDS DE team, split between London and California, made up of high-quality data professionals covering architecture and platform support, data processing, and technical program management
Due to team expansion, ICDS DE is looking to recruit talented, highly driven individuals who have excelled in previous roles and are looking for a new challenge in a dynamic and rewarding environment.
ICDS delivers data that powers Analytics, Data sciences, Marketing, ML, and multiple other teams across the companies and offices that make up the PlayStation business: high quality, valuable to the user, accessible, and continuously improving.
ICDS Staff Data Engineer
We are looking for a Staff Data Engineer to join the ICDS Player DE team within the Sony PlayStation environment.
A Staff Data Engineer is required to own and evolve large-scale streaming and batch data platforms, providing technical leadership and architectural direction across the data ecosystem.
Based in our San Mateo offices, the team provides data services for various global business units associated with Sony PlayStation.
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 articulate issues and challenges with enough lead time to address project delivery risk Requires the ability to work in a global and multi-cultural environment. Team members are in multiple geographies, resulting in time constraints due to time zones differences and a requirement for 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
#LI-KS1
Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.
At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
The estimated base pay range for this role is listed below.
$216,200-$324,400 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
  • United States

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