Senior Data Platform Engineer II

Tech Stack

Responsibilities

• Own the end-to-end AI-first data platform architecture, spanning streaming ingestion, lakehouse storage, feature generation, and data/insight serving layers.
• Architect real-time streaming systems using AWS Kinesis and Spark Structured Streaming to support low-latency AI, ML inference, and decisioning use cases.
• Design stream-to-lakehouse convergence patterns that unify real-time and historical data with strong correctness guarantees, enabling both analytics and ML workloads.
• Build and evolve data, metrics, and feature APIs that expose curated, AI-ready datasets for downstream applications, analytics, and machine learning models.
• Provide technical leadership and mentorship, shaping best practices for AI-ready data modeling, data quality, observability, and platform operability.

Benefits

• Health Insurance

Culture