Define and lead the design of edge‑native data architectures for industrial network telemetry, covering ingestion, modeling, storage, and local inference layers.
Translate and adapt modern cloud lakehouse patterns (Apache Iceberg) into scalable, edge‑compatible architectures, ensuring efficiency in constrained environments.
Own the end‑to‑end data architecture, including data modeling, partitioning strategies, lifecycle management, and evolution of datasets.
Design and oversee data orchestration frameworks (Airflow, Prefect, Dagster, or similar), ensuring reliability, observability, and scalability across distributed edge systems.
Architect modular, reusable, and protocol‑agnostic ingestion frameworks tailored for industrial edge gateways and heterogeneous data sources.
Partner closely with AI/ML teams to define robust data pipelines that enable on‑device inference, real‑time analytics, and anomaly...
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