Lead Data Engineer

Overview

In this Lead Data Engineer role, you will guide a cross-disciplinary Data Platform to ingest and process large-scale data for PlayStation Studios. You’ll scale the data platform, define its direction, and enable analysts and engineers to derive insights throughout development and post-launch. You’ll collaborate with DevOps, analytics teams, and business stakeholders to improve data quality, lineage, and observability while expanding capabilities. This role offers a flexible hybrid setup and a chance to shape analytics at scale for a premier gaming brand.

Pay / Benefits

• flexible hybrid working arrangement
• remote collaboration with key in-person meetings
• opportunity to influence analytics for PlayStation Studios
• involvement with cutting-edge data platforms
• work with premier entertainment IPs
• inclusive work environment

Responsibilities

• Own parts of the data pipeline and drive improvements to meet technical and business goals
• Build supporting services and integrations (e.g., in-game maps, video tooling) for the pipeline
• Integrate data collection platform with BI tools to enable studio self-service
• Collaborate with DevOps, analytics engineers, and stakeholders across the studio
• Improve data quality, lineage, and observability
• Support and document tooling, ensuring maintainability
• Act as a technical expert and share knowledge with colleagues

Key requirements

• Experience building and owning data pipelines for high-throughput streaming and batch data
• Proficient in Go or Python with willingness to learn Go
• Proven ability to build robust, scalable, and resilient services
• Demonstrated measurable impact in current/previous roles
• Strong problem-solving mindset with ownership of quality, investigations, and remediation
• Experience with cloud data services, specifically AWS (S3, Redshift, Kinesis, Data Firehose, Athena, Glue)
• Nice to have: experience with AI tooling (Claude Code, Codex), near real-time data processing, BI tools (Looker, Tableau), GitHub/GitHub Actions

• problem-solving
• ownership and accountability
• collaboration across cross-functional teams
• Data pipelines for streaming and batch data
• Go or Python programming
• cloud data services: AWS S3, Redshift, Kinesis, Data Firehose, Athena, AWS Glue

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