Engineering Manager, Data Platforms

About the position

PlayStation is looking for an experienced Engineering Manager to lead foundational data platforms, including Data Ocean (our next-gen Data Lakehouse) and Databricks platform. These platforms are critical for enabling data-driven decision-making, AI/ML, and scalable insights across the PlayStation ecosystem. The role involves leading a talented engineering team focused on building secure, performant, and scalable next-gen platforms, while partnering closely with various teams to ensure the platform evolves to meet PlayStation's growing data needs.

Responsibilities

• Lead Platform Development - Own the end-to-end engineering Data platform, ensuring platform reliability, scalability, and extensibility.
• Set Technical Direction - Define architectural strategies aligned with PlayStation's long-term data vision.
• Manage and Grow a High-Performing Team - Foster an engineering culture centered around quality, innovation, and ownership.
• Support Broad Use Cases - Enable data access and scalability for a range of use cases across analytics, machine learning, and operational workloads.
• Promote Engineering Best Practices - Champion platform engineering, infrastructure automation, observability, and security.
• Collaborate Across Teams - Partner with stakeholders across product, analytics, governance, and business functions to deliver cohesive solutions.

Requirements

• 5+ years of experience in data platform or data engineering, with a strong focus on scalable, cloud-native infrastructure.
• 3+ years in an engineering leadership role, driving execution and team development.
• Experience with cloud platforms (preferably AWS, GCP) and services such as S3, Lambda, Glue catalog, Athena, and related infrastructure for data processing and orchestration.
• Exposure to real-time streaming technologies such as Apache Kafka or Amazon Kinesis, alongside batch processing systems is good to have.
• Hands-on experience with Databricks and modern data processing frameworks like Apache Spark.
• Exposure to data warehouse platforms such as Snowflake, Redshift, or BigQuery.
• Strong understanding of emerging data interoperability standards, including table formats like Apache Iceberg and Delta.
• Proven ability to lead technical teams, set architectural direction, and align execution with business goals.
• Effective communicator capable of influencing across technical and non-technical audiences.

Benefits

• Medical, dental, vision insurance
• Matching 401(k)
• Paid time off
• Wellness program
• Employee discounts for Sony products
• Bonus package eligibility