Data Engineer PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation's global infrastructure.
Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products.
You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions.
What You'll Do - Build scalable data pipelines that ingest, transform, and combine physical infrastructure, engineering system, financial, and product data.
- Develop cost and allocation models that connect infrastructure consumption to workloads, services, features, and products.
- Partner with engineering teams to understand complex infrastructure and identify the telemetry and instrumentation needed to measure it.
- Analyze infrastructure cost, utilization, capacity, and unit economics to help drive key business decisions across all our teams.
- Create trusted metrics, datasets, dashboards, and analytical tools used by engineering, product, Finance, and leadership.
- Establish strong practices around data quality, testing, observability, documentation, and reproducibility.
- Explore new data sources and technologies that improve how we understand and operate our infrastructure.
What We're Looking For - 3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems.
- Advanced SQL skills and proficiency with Python or similar data-oriented programming languages.
- Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines.
- Strong analytical skills-you're comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions.
- Experience working with large, complex datasets across multiple systems and levels of granularity.
- Ability to translate ambiguous business and technical problems into measurable requirements and scalable data solutions.
- Experience and flexibility with current analytics and visualization tools.
- Familiarity with teams and engineering systems that utilize both on-prem and cloud infrastructure.
- Strong communication skills and the ability to work across global engineering, product, Finance, and business teams.
Nice to Have - Bachelor's degree in computer science
- Experience with AWS, Google Cloud, or Azure billing and usage data.
- Experience with Kubernetes telemetry, networking, or data center operational data.
- Familiarity with infrastructure cost allocation, unit economics, capacity planning, forecasting, or FinOps.
- Experience connecting technical infrastructure consumption to product or business metrics.
