Lead Data Engineer
Role Overview
Lead Data Engineer in the cross-disciplinary Data Platform team.
Ingests and processes high-volume data for game analytics.
The role helps scale the platform, define its technical direction, and expand analytics for PlayStation games.
Key Skills for This Role
Full Job Posting
About the company and team
Sony Interactive Entertainment is the company behind the PlayStation brand.
PlayStation Studios develops console games and franchises for PlayStation.
The team provides end-to-end analytics services to PlayStation Studios and uses data throughout game development and after launch.
Working arrangement
- The role offers a flexible hybrid arrangement, with most time spent remotely unless the employee prefers the office.
- Office attendance is expected for key team meetings, collaboration sessions, and business activities where in-person engagement is beneficial.
Role overview
Lead Data Engineer in the cross-disciplinary Data Platform team.
Ingests and processes high-volume data for game analytics.
The role helps scale the platform, define its technical direction, and expand analytics for PlayStation games.
What you'll do
- Own parts of the pipeline and drive improvements toward technical and business goals.
- Build pipeline support services, including integrations with in-game maps and video tooling.
- Integrate data collection and BI platforms to enable studio self-service.
- Collaborate with DevOps, analytics engineers, and studio business stakeholders.
- Improve data quality, lineage, and observability.
- Support existing tools and improve their quality and documentation.
- Share technical expertise with colleagues and help define platform direction.
What we're looking for
- Experience building and owning high-throughput streaming and batch data pipelines.
- Ability to write Go, or to write Python and willingness to learn Go.
- Experience building robust, scalable, and resilient services.
- Demonstrated measurable impact in current or previous roles.
- Ability to take responsibility for data quality, investigations, and remediation.
- Experience with cloud data services; the team uses AWS S3, Redshift, Kinesis, Data Firehose, Athena, and AWS Glue.
Nice to have
- Experience using AI during development, including Claude Code, Codex, or other harnesses.
- Experience with near-real-time data processing, querying, and visualisation.
- Experience with Omni Analytics or a similar BI tool such as Looker or Tableau.
- Experience with GitHub and GitHub Actions.
Hiring process
- Background checks are conducted at the offer stage for new employees and may include criminal background checks for some roles.
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