Staff Data Platform Engineer

Unity Unity · Enterprise · San Francisco, CA · Data & Analytics

Staff Engineer, Data Platform at Unity to build and scale data infrastructure for Ads business and Unity Commons. Role focuses on large-scale distributed systems, data engineering, and platform architecture, enabling high-throughput, reliable data flows. Requires senior individual-contributor with expertise in complex platform problems and building scalable systems.

What you'd actually do

  1. Own the design, build, and evolution of scalable platform services, backend systems, and self-service tooling used across Unity.
  2. Work across a broad technical surface area, including distributed systems, data pipelines, cloud infrastructure, observability, reliability, automation, and developer experience.
  3. Partner with engineering teams across Ads, infrastructure, data, and product to identify shared needs and deliver reusable, high-leverage solutions.
  4. Provide hands-on technical leadership for ambiguous, cross-functional initiatives that span multiple systems and teams.
  5. Contribute to platform patterns, technical standards, and engineering best practices that improve consistency and quality across the organization.

Skills

Required

  • Extensive experience designing, building, and operating large-scale distributed systems, backend services, or data platforms in production environments.
  • Strong backend and systems engineering skills, including service design, API design, system integration, debugging, and production operations.
  • Deep understanding of distributed systems fundamentals, including scalability, reliability, fault tolerance, performance, consistency, and operational trade-offs.
  • Experience building shared platforms, internal systems, or self-service infrastructure that supports multiple engineering teams.
  • Ability to quickly understand complex existing systems, identify leverage points, and lead pragmatic improvements.

Nice to have

  • Experience supporting data-intensive platforms or systems, including pipelines, streaming systems, storage layers, or analytics infrastructure.
  • Hands-on exposure to technologies such as Apache Flink, Apache Paimon, Kafka, Spark, Kubernetes, ArgoCD, or Terraform.
  • Experience in advertising technology, gaming, monetization, marketplaces, or high-scale consumer platforms.