Member of Technical Staff (Software Engineer, Data Platform)

The Data Platform team at Perplexity owns the end-to-end data lifecycle, from ingestion to serving, powering product features, analytics, experimentation, AI workloads, and the data lake. The team defines architecture for batch and streaming systems, orchestration, observability, and a self-serve data platform, combining platforms like Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/​

5+ years (Senior) or 8+ years (Staff) of software engineering experience. Strong experience building production data infrastructure systems. Hands-on experience with batch and/or streaming data processing at scale. Deep familiarity with data orchestration systems (Airflow, Dagster, or similar). Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.). Strong systems thinking around reliability, latency, cost, and complexity tradeoffs. Experience supporting ML/AI