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: Deploy low-latency services to pipe data for streaming or near
• Data Platform Ops: Deploy, monitor, and CI/CD for Data pipelines. Enable complete observability and

🎯 Requirements

• 3+ years of experience in Platform Engineering, deploying and maintaining scalable data platforms
• Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services for
• Proficient with Containerization (Docker, Kubernetes) and cluster-level management.
• Deep experience building a platform for managing the full Data lifecycle, including data
• Expert in Python and Go. Strong cloud experience, preferably GCP (BigQuery, Cloud Functions, GKE)
• Excellent communication, stakeholder management, and problem-solving skills.

🎁 Benefits

• Company-subsidized medical, dental, & vision plans
• 401(k) with company match
• Annual bonus
• Flexible PTO (2 weeks strongly encouraged)
• Generous parental leave and disability benefits
• Workplace flexibility and modern schedules