Staff Data Platform Engineer

📋 Description Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Cross-Functional Collaboration: Partner with Product, Backend Engineering, Data Engineering and 🎯 Requirements 8+ years of experience in Platform Engineering, with a proven track record of deploying and Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to Proficient with Containerization, Docker, Kubernetes and cluster level management. Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow Deep experience building a platform for managing the full Data lifecycle including setting up a Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP 🎁 Benefits Company-subsidized medical, dental, & vision plans 401(k) plan with company match Annual bonus Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) Generous paid leave programs, including 16-week paid parental leave and disability benefits Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked