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