We’re looking for a Data Platform Engineer to take end-to-end ownership of large-scale data pipelines and distributed systems powering a next-generation Graph Analytics platform.

What You’ll Own

Data Pipeline & Platform Engineering

• Design and build end-to-end data pipelines (batch + streaming)
• Own large-scale Apache Spark workloads and distributed data processing
• Implement data ingestion → transformation → serving layers
• Manage schema evolution, data contracts, and pipeline reliability

Distributed Systems & Scale

• Work on systems handling high-volume graph datasets (entities + relationships)
• Optimize for latency, throughput, and fault tolerance
• Design scalable architectures using