Teams at MFour Data Research

Own and operate the end-to-end consumer data pipeline: ingest, clean, transform, and unify multi-source behavioral data into a deduplicated identity graph. Build and run batch and streaming pipelines, enforce data-quality and observability, support low-latency AI query access, perform root-cause incident analysis, and ensure privacy, compliance, and clear data lineage. Collaborate across product and fulfillment teams to maintain SLAs and document data contracts and architecture.

Lead development of research fulfillment systems and data analysis interfaces using AI coding agents. Own end-to-end fulfillment pipelines, React/TypeScript front ends, backend APIs and orchestration, agent supervision/guardrails, observability, and incident response. Write precise specs, review agent output, and collaborate with product, operations, and platform teams to ensure reliable production delivery.

Senior individual contributor owning cross-cutting architecture, critical code-path reviews, platform reliability, incident leadership, and AI-era engineering practices across data pipelines and products.