Engineering Manager – Enterprise Data Engineering

About the role

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Engineering Manager – Enterprise Data Engineering

We are looking for an experienced Engineering Manager to lead a team of Enterprise Data Engineers delivering trusted, scalable and reusable data capabilities across Sony Interactive Entertainment (SIE). The role combines people leadership, technical direction, delivery ownership and operational accountability for enterprise data products, pipelines and integrations.

Working with global engineering, architecture, platform, security and business teams, you will enable enterprise priorities spanning Finance, Supply Chain, IT Operations, People & Places and Sales & Operations. You will balance transformation delivery with the reliability, maintainability and continuous improvement of existing data services.

Responsibilities

Lead, coach and grow the engineering team

· Manage performance, development, recruitment and succession; create clear goals, regular feedback and meaningful career plans.

· Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning.

· Provide hands-on technical guidance when needed while delegating decisions and developing senior engineering capability.

Own delivery, capacity and execution

· Translate enterprise roadmaps into executable plans, milestones, dependencies and measurable outcomes; balance project commitments with run-the-business obligations.

· Proactively forecast capacity and skills needs, allocate resources, manage competing priorities and identify delivery trade-offs.

· Maintain clear visibility of progress, blockers and risks; escalate early with options and recommendations, and communicate confidently to leadership and stakeholders.

· Drive predictable delivery through appropriate agile practices, estimation, design reviews, testing, release management and continuous improvement.

Provide technical leadership for enterprise data engineering

· Guide architecture and implementation of secure, scalable batch and streaming ingestion, ETL/ELT pipelines, transformations and enterprise integrations.

· Champion maintainable engineering patterns across Snowflake, Databricks, Python/PySpark, SQL, dbt and relevant orchestration and integration technologies.