Responsibilities

• 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...