Senior Data Platform Architect

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Description

We are seeking a Senior Data Platform Architect to join a physical AI program building autonomous construction machines that operate unsupervised at customer sites, for a global heavy-equipment manufacturer and long-standing pioneer in autonomous machinery. In this role, you will work alongside the Data Platform Architect (Lead) and the perception, kit and robotics teams, owning the part of a largely greenfield platform that turns raw multimodal sensor data into trusted, versioned datasets for vision-language-action (VLA) model training and simulation. Essential functions Curation & Annotation Flow: Design the end-to-end flow from landed sensor data (camera images, LiDAR and radar point clouds, GNSS/IMU and machine telemetry) to training-set creation, for a data-collection fleet scaling to 500+ machines. Metadata Registry & Cataloging: Build the metadata registry for every asset (machine, sensor, calibration version, timestamps, pose, landing layer) and define the cataloging approach that ML and robotics engineers rely on. Lineage, Versioning & Lifecycle: Set up lineage, versioning, lifecycle and retention from raw sensor logs to each training dataset, so every model can be traced back to its source data. Simulation-Ready & Synthetic Data: Define how real data becomes simulation-ready and how synthetic data is stored, versioned and mixed with real data. Data Contracts & Implementable Architecture: Agree data contracts with the perception and kit teams, and produce architectur

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