Senior Data Platform Engineer, PlayStation

• 3+ years in data/platform/DevOps engineering with significant AWS experience
• Proficient in Python and SQL
• Proficient in AWS Budget and Cost Management, AWS Trusted Advisor, CloudWatch & CloudTrail
• CI/CD for infra and data (GitHub Actions/Jenkins), code reviews, testing, and change management
• Security-first mindset: IAM/RBAC, least privilege, network controls, encryption, secrets
• FinOps knowledge: RI/Savings Plans, rightsizing, storage lifecycle, cost allocation/tagging, monitoring/alerts
• Excellent communication and ability to operate in a small, high-impact team
• An expert in all things data
• A fan of baseball and MLB The Show
• You enjoy supporting the development efforts of games used by passionate loyalists around the world
• A career opportunity influencing the most successful gaming platform of all time interest you
• This role is ideal for an engineer who enjoys wearing multiple hats across DevOps, platform engineering, and data engineering. If this is you, you need to come and play with us here at Sony PlayStation!

Desirable

• The San Diego Studio analytics team is looking for a highly motivated, hands-on Senior Data Platform Engineer to own and evolve our data infrastructure on AWS and Databricks
• You’ll lead cloud-driven Databricks configurations, reliability and cost optimization (FinOps), and jump in on ETL development
• AWS and Databricks administration
• Configure and manage core AWS services
• Work with Data Scientists to manage Databricks environment in conjunction with Data Engineering AWS environment
• Implement security best practices, network segmentation, and secrets management
• Own relationships with external vendors
• ETL/Data Engineering
• Support development and maintenance of data pipelines (Python/Spark/SQL/API Gateway/EC2/DynamoDB/Glue), data quality checks, and documentation
• Contribute to code reviews and standards
• Own Infrastructure as Code
• Design, build, and maintain IaC with Terraform for AWS and Databricks (modules, workspaces, remote state, CI/CD)
• Standardize and templatize environment provisioning across dev/prod
• FinOps and cost governance
• Establish tagging, budgets, and chargeback/showback; rightsized compute, storage, and job configurations
• Manage Savings Plans/Reserved Instances, Spot strategies, storage lifecycle policies
• Studio Collaboration
• Work closely with data engineers, data scientists, and stakeholders to unblock deliverables
• Work with internal teams to help them realize optimizations and cost savings
• Document designs, standards, and operational practices to enable a small team to move quickly and safely