🛠 Tech Stack

💼 About This Role

You'll architect and implement distributed data systems for a near real-time reporting platform at Unity, powering analytics across the ecosystem. You'll design high-throughput, low-latency pipelines ensuring correctness and reliability in a high-volume production environment. This is a high-impact role at the intersection of distributed systems, stream processing, and cloud-native infrastructure.

🎯 What You'll Do

• Design and implement near real-time data pipelines and reporting infrastructure.
• Architect distributed stream and batch processing systems with Flink, Spark, Airflow.
• Build data processing frameworks for large-scale event ingestion and transformation.
• Ensure production-grade reliability, observability, and operability across systems.

📋 Requirements

• Strong foundation in distributed systems and systems design.
• Hands-on experience with Apache Flink, Spark, or Kafka for large-scale data processing.
• Proficiency in Python, Java, or Scala.
• Experience with cloud-native architectures and Kubernetes.

✨ Nice to Have

• Ability to lead architecture across teams and influence platform strategy.
• Experience defining technical roadmaps for distributed data systems.
• Track record of driving reliability improvements and scaling systems to high throughput.

🎁 Benefits & Perks

• 🏥 Comprehensive health, life, and disability insurance
• 🚗 Commute subsidy
• 📈 Employee stock ownership
• 🏖️ Generous vacation and personal days
• 🍼 Support for new parents (leave and family-care programs)