We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Player Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Commerce, hardware, game play, products and services, and accounts
This is a hands-on senior individual contributor role. You will partner with engineering, platform, product and business teams. Take end-to-end ownership of complex solutions and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready Player data foundations
Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across Player data systems, APIs, Snowflake Db and cloud data environments
Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions
Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective
Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement
Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks
Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency
Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice
Partner with TPM’s, business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership
Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly
Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls

Experience with AWS services, APIs, event-driven integration and infrastructure as code
Familiarity with building or integrating AI agents into data engineering workflows would be a strong plus
Experience leveraging AI coding assistants, agentic workflows, and AI-driven development tools to accelerate engineering productivity and improve code quality
Typically 5+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions
Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles

We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Player Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Commerce, hardware, game play, products and services, and accounts
This is a hands-on senior individual contributor role. You will partner with engineering, platform, product and business teams. Take end-to-end ownership of complex solutions and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready Player data foundations
Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across Player data systems, APIs, Snowflake Db and cloud data environments
Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions
Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective
Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement
Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks
Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency
Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice
Partner with TPM’s, business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership
Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly
Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls

Experience with AWS services, APIs, event-driven integration and infrastructure as code
Familiarity with building or integrating AI agents into data engineering workflows would be a strong plus
Experience leveraging AI coding assistants, agentic workflows, and AI-driven development tools to accelerate engineering productivity and improve code quality
Typically 5+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions
Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles

Senior Data Engineer

Skills

Must have

Nice to have

Full description

Senior Data Engineer

Skills

Must have

Nice to have

Full description