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13 дней назад

Principal Digital Architect - Onboard & Site Data (AI)

147 760 - 240 110$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Digital Architect - Onboard & Site Data (AI): Defining data architecture and contracts that connect machine and site systems with enterprise ingestion platforms for Physical AI and autonomous construction systems with an accent on schemas, metadata, semantics, and scalable edge-to-cloud data foundations. Focus on standardizing sensor data exchange, specifying quality and latency requirements, and enabling AI model development across real-world industrial environments.

Location: Onsite in Irving, Texas, working from the office five days a week. Domestic relocation assistance is available. Visa sponsorship is available for eligible applicants.

Salary: $147,760–$240,110 per year

Company

hirify.global develops connected machines, software, autonomy, and AI solutions for construction and industrial jobsites.

What you will do

  • Define data architecture for Physical AI and autonomous systems operating at scale.
  • Develop data contracts connecting machine and site systems with enterprise ingestion platforms.
  • Standardize schemas, semantics, timestamps, units, identities, metadata, and data exchange requirements.
  • Specify expectations for data quality, completeness, latency, and versioning.
  • Design application infrastructure, including databases, programming technologies, utilities, and testing approaches.
  • Lead technology evaluations and collaborate with perception architects, data engineering, platform teams, and cross-functional stakeholders.

Requirements

  • Knowledge of data architecture, integration blueprints, enterprise data domains, canonical data models, and data contracts.
  • Experience with requirements analysis, target architecture, IT roadmaps, and alignment with business strategies.
  • Understanding of AI and machine learning data foundations, including training data, feature engineering, vector data, synthetic data, and AI lifecycle pipelines.
  • Knowledge of machine telemetry, sensor data, digital twins, simulation data, edge-to-cloud architectures, and autonomous systems.
  • Typically 10+ years of progressive experience in software engineering and architecture focused on data.
  • Strong communication, mentoring, coaching, influencing, and technical leadership skills.

Nice to have

  • Experience establishing architectural standards, patterns, governance, and roadmaps across multiple engineering organizations.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid vacation, holidays, and volunteer time.
  • 401(k), HSA, FSA, disability, and life insurance benefits.
  • Career development, tuition reimbursement, and employee assistance programs.
  • Parental leave, adoption benefits, incentive bonus, and employee discounts.

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