Senior Data Engineer

As a Senior Data Engineer at Sony Interactive Entertainment, you design and operate scalable data foundations powering decision-making across PlayStation ecosystems. You will work within the Player Data Engineering team to build reusable data pipelines, models and products for diverse business domains. You own end-to-end solutions, mentor peers, and raise engineering standards while delivering secure, governed, AI-ready data. This role offers impact across commerce, hardware, gameplay, and services within a mission-driven tech company.

• Design, deliver and maintain Player data solutions
• Build robust batch and near-real-time data pipelines and ETL/ELT workflows across data systems, APIs, Snowflake and cloud environments
• Develop reusable data models and domain-aligned data products translating complex business logic into reliable solutions
• Lead technical design, evaluate trade-offs, ensuring scalability, security, maintainability and cost-effectiveness
• Own solutions through the full engineering lifecycle including testing, validation, lineage, observability and runbooks
• Apply CI/CD, version control, automation and governance practices to improve performance and platform efficiency
• Provide technical leadership, mentor engineers, conduct reviews and contribute to shared patterns and standards
• Collaborate with TPMs, stakeholders, architects, security and governance teams to clarify requirements and ownership
• Identify delivery risks and dependencies and communicate options clearly
• Enable trusted data for analytics, planning, automation and AI use cases while ensuring privacy and access controls

• 5+ years of data engineering or software engineering experience with ownership of complex production data solutions
• Experience designing data pipelines using modern ETL/ELT tools (dbt, Ab Initio or equivalent)
• Strong cloud data platform experience, especially Snowflake; knowledge of dimensional modelling and data products
• Experience with orchestration, Kubernetes, Git-based workflows, automated testing, CI/CD, monitoring and production troubleshooting
• Understanding of data security, governance, and regulatory considerations in enterprise settings
• Experience leveraging AI coding assistants, agentic workflows or AI-driven development tools; familiarity with integrating AI agents is a plus
• Bachelor’s degree in a relevant discipline or equivalent practical experience

• Mentorship and leadership
• Effective communication with engineers and non-technical stakeholders
• Proactive risk identification and cross-team collaboration
• Snowflake
• dbt
• Ab Initio