Job Description

Square Enix is a leading publisher of entertainment content, known for creating iconic worlds, characters, and stories that connect with players around the world.

About the Role

The Manager, Data Engineering (Marketing) helps ensure our regional marketing and customer data capabilities are ready to support better decisions, stronger engagement, and future global platform direction. The role manages regional engineering delivery for marketing and customer data platforms, translating business and analytics needs into scalable data capabilities covering integration, quality, access, technical assurance, documentation, and operational readiness.

Working closely with regional stakeholders and global teams, the Manager ensures regional data solutions remain aligned with agreed global architecture and standards while establishing clear documentation practices, trusted operational routines, and AI-ready data capabilities that support customer engagement, better business decision-making, and future AI-enabled insight use cases.

Responsibilities & KPIs

• Responsible for coordinating and delivering agreed regional engineering priorities for marketing, customer, sales, and gameplay data, including day-to-day implementation decisions, delivery quality, technical assurance, and escalation of risks where they affect business priorities, agreed standards, or operational resilience.
• Build, operate, and improve data pipelines and core data capabilities, while supporting the transition toward shared global data platforms where applicable.
• Integrate and manage key datasets across game telemetry, account / identity, membership, commerce, CRM, and marketing systems.
• Ensure customer, player-level, and account-related data is consistent, usable, and accessible for analytics, CRM, lifecycle, membership, and campaign engagement use cases.
• Ensure data engineering delivery is carried out in line with data protection, security, secure coding, and regulatory requirements, working with Privacy, Security, Legal, and Compliance teams at agreed governance touchpoints and escalating decisions where additional approval is needed.
• Identify technical debt and limitations in existing data or backend systems, and support practical improvements that enhance scalability, maintainability, integration, and alignment with shared platform direction.
• Lead and manage a small Data Engineering team, providing coaching, prioritisation, performance guidance, and day-to-day technical leadership.
• Establish consistent documentation practices across the Data Engineering team, including technical documentation, operational runbooks, and data flow definitions, to improve transparency, maintainability, and operational continuity.
• Promote lean, efficient ways of working through automation, AI tools, clear prioritisation, and practical delivery practices.