Engineering Manager – Enterprise Data Engineering

The role

An experienced Engineering Manager will lead a team of Enterprise Data Engineers to deliver scalable and reusable data capabilities. The role involves people leadership, technical direction, and operational accountability for enterprise data products and pipelines.

What you will do

• Lead, coach and grow the engineering team
• Manage performance, development, recruitment and succession
• Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning
• Provide hands-on technical guidance
• Translate enterprise roadmaps into executable plans, milestones, dependencies and measurable outcomes
• Proactively forecast capacity and skills needs
• Drive predictable delivery through agile practices, estimation, design reviews, testing, release management and continuous improvement
• Guide architecture and implementation of secure, scalable batch and streaming ingestion, ETL/ELT pipelines, transformations and enterprise integrations
• Ensure data models and domain-owned data products are reusable, discoverable, documented and aligned with enterprise standards
• Be accountable for service reliability, observability, data freshness, data quality, lineage, access controls and operational support

Required qualifications

• 3+ years of people management or engineering leadership experience, including performance management, coaching and leading delivery teams
• 8+ years of relevant software, data platform or data engineering experience
• Demonstrated ownership of production-grade enterprise data solutions
• Strong understanding of data architecture, ETL/ELT, data warehousing/lakehouse patterns, dimensional modelling, data contracts and reusable data products
• Practical technical experience with SQL and Python
• Strong familiarity with Snowflake, Databricks and PySpark
• Experience with dbt or comparable transformation frameworks
• Experience with orchestration, API/file-based integrations, cloud services (preferably AWS), Git-based development, automated testing and CI/CD
• Experience operating business-critical data pipelines, including monitoring, incident management, data quality, security and performance optimisation
• Ability to plan team capacity, manage a portfolio of priorities, resolve cross-team dependencies and provide transparent, proactive delivery reporting
• Excellent stakeholder management and communication skills across engineering, business and senior leadership
• Undergraduate degree or equivalent experience

Nice to have

• Enterprise Finance or Supply Chain data, including SAP and planning-system integrations (such as Anaplan or Adaptive)
• Data governance, metadata/lineage, master data, privacy classification and regulated or sensitive enterprise datasets
• Enabling analytics, machine learning or AI-ready data products and applying AI-assisted engineering practices responsibly
• Working with geographically distributed teams and large-scale enterprise transformation programmes

Before you apply

• Sony Interactive Entertainment conducts background checks at the offer stage for all new employees

About the company

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand and a subsidiary of Sony Group Corporation. It is a dynamic technology company and an entertainment leader.