Architect and evolve core backend systems including event ingestion, real-time risk evaluation, semantic search, and investigation-grade querying. Design and optimize streaming data pipelines using Kafka, Redpanda, or similar technologies. Define and refine data models and schemas across structured, analytical, unstructured, and vector storage layers. Identify and lead improvements for architectural weaknesses and performance bottlenecks. Implement data ingestion and transformation frameworks for policy evaluation, semantic analysis, and dynamic response. Optimize query performance, storage efficiency, and retrieval accuracy. Build and maintain backend APIs, monitoring infrastructure, and policy enforcement workflows.