Job Description

Define and own the end-to-end data architecture across source systems, streaming pipelines, storage, transformation, APIs, and consumption layers
Design and implement scalable data pipelines for structured, semi-structured, unstructured, and real-time data
Integrate data from enterprise applications, devices, sensors, operational systems, third-party providers, and partner ecosystems
Establish canonical data models and integration patterns across core entities such as assets, events, locations, products, devices, users, or operational processes
Partner with security and governance leads to embed control, access, lineage, and quality requirements into the architecture
Support use cases requiring real-time or near-real-time ingestion and processing
Drive interoperability across fragmented technical and business environments
Establish engineering standards, DataOps practices, monitoring, and reliability