Engineering Manager (Enterprise Data Engineering)

Join Sony Interactive Entertainment (SIE) as an Engineering Manager for Enterprise Data Engineering. In this role, you will lead a team of Enterprise Data Engineers, delivering trusted, scalable, and reusable data capabilities across SIE. You will be responsible for people leadership, technical direction, delivery ownership, and operational accountability for enterprise data products, pipelines, and integrations. You will work with global engineering, architecture, platform, security, and business teams to enable enterprise priorities and balance transformation delivery with the reliability and continuous improvement of existing data services.

• Lead a team of Enterprise Data Engineers to deliver trusted, scalable, and reusable data capabilities across Sony Interactive Entertainment.
• Manage performance, development, recruitment, and succession of team members; create clear goals, regular feedback, and meaningful career plans.
• Translate enterprise roadmaps into executable plans, milestones, dependencies, and measurable outcomes; balance project commitments with run-the-business obligations.

• Ability to plan team capacity, manage a portfolio of priorities, resolve cross-team dependencies and provide transparent, proactive delivery reporting
• Practical technical experience with SQL and Python; strong familiarity with Snowflake, Databricks and PySpark, and experience with dbt or comparable transformation frameworks
• Strong understanding of data architecture, ETL/ELT, data warehousing/lakehouse patterns, dimensional modelling, data contracts and reusable data products
• 8+ years of relevant software, data platform or data engineering experience, with demonstrated ownership of production-grade enterprise data solutions
• 3+ years of people management or engineering leadership experience, including performance management, coaching and leading delivery teams
• Experience operating business-critical data pipelines, including monitoring, incident management, data quality, security and performance optimisation
• Experience with orchestration, API/file-based integrations, cloud services (preferably AWS), Git-based development, automated testing and CI/CD
• Excellent stakeholder management and communication skills across engineering, business and senior leadership; undergraduate degree or equivalent experience
• Enterprise Finance or Supply Chain data, including SAP and planning-system integrations (such as Anaplan or Adaptive)
• Enabling analytics, machine learning or AI-ready data products and applying AI-assisted engineering practices responsibly
• Data governance, metadata/lineage, master data, privacy classification and regulated or sensitive enterprise datasets
• Working with geographically distributed teams and large-scale enterprise transformation programmes