Data Architect, Robotics

Benefits

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

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About this role

Data Architect, Robotics Palo Alto, California, United States The Role At Mind Robotics, we're building generalized physical AI -robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. High-quality data is the foundation of everything we do, from training core models to evaluating real-world performance. We're looking for a Data Architect to design and build our data engine - enabling scalable data pipelines, high-quality datasets, and fast iteration across modeling and robotics teams. What You'll Do - Design and implement scalable pipelines for collecting, processing, and preparing data for model training - Partner closely with modeling teams to ensure data is structured for maximum training velocity - Develop systems for data storage, retrieval, and workflow orchestration - Manage cloud compute and infrastructure supporting large-scale data processing - Enable tight feedback loops between data, models, and real-world performance - Design systems for automated data validation, quality control, and labeling workflows - Improve consistency, reliability, and scalability of datasets - Build pipelines and tools for querying, visualizing, and analyzing large datasets - Continuously improve data pipelines to reduce bottlenecks and latency What We're Looking For - Proven experience building scalable data pipelines and infrastructure - Deep understanding of data processing, storage, and workflow orchestration - Experience working across the full data lifecycle: ingestion, processing, validation, and dataloading - Ability to design systems that support both training and evaluation needs - Experience managing cloud-based data infrastructure and compute workflows - Familiarity with large-scale data processing systems - Experience building or

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