Principal Data Platform Engineer

Tech Stack

Responsibilities

• Define and own the end-to-end data platform architecture, spanning streaming ingestion, lakehouse storage, and data/insight serving layers.
• Architect real-time streaming systems using AWS Kinesis and Spark Structured Streaming to support low-latency use cases.
• Design stream-to-lakehouse convergence patterns that unify real-time and historical data with strong correctness guarantees.
• Build and evolve data and metrics APIs that expose curated datasets for downstream applications and analytics.
• Establish canonical event schemas and data contracts to support event-driven and API-based consumption.

Benefits

• Health Insurance

Culture