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11 дней назад

Analytics Platforms Architect (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics Platforms Architect (AI): Building shared data and analytics platforms, including a governed semantic layer for consistent business metrics, with an accent on data architecture, production systems, and AI-enabled analytics workflows. Focus on designing scalable platform components, enabling AI agents to use trusted data safely, reconciling financial metrics, and driving cross-functional technical initiatives.

Location: US; remote

What you will do

  • Define the architecture and technical direction for hirify.global's semantic layer and shared analytics platform.
  • Establish governed, consistent definitions for business metrics across markets and teams.
  • Design and build production data models, pipelines, services, tooling, SDKs, and other platform components.
  • Develop context and governance layers that enable AI agents and analytics teams to work safely with trusted data.
  • Lead technical initiatives across Product, Engineering, Analytics, Finance, and Accounting.
  • Set architecture standards, reduce technical debt, mentor engineers, and improve data documentation and usability.

Requirements

  • Significant experience in data engineering, software engineering, analytics engineering, data platforms, or a related technical field.
  • Experience designing and building large-scale or shared data platforms and infrastructure.
  • Strong experience with data architecture, data modeling, pipelines, and production systems.
  • Ability and willingness to write production code and build alongside engineers.
  • Experience leading complex technical initiatives across multiple teams without direct authority.
  • Strong problem-solving, communication, and stakeholder collaboration skills.

Nice to have

  • Experience establishing trusted, governed, or standardized business metrics.
  • Experience with AI/LLM-powered analytics, data workflows, or agents.
  • Experience working with financial, regulated, or highly sensitive data.

Culture & Benefits

  • Hands-on individual contributor role operating at Principal/Staff-level scope.
  • Opportunity to build and lead a platform team as the organization grows.
  • Cross-functional collaboration across Product, Analytics, Engineering, Finance, and Accounting.
  • Technical decisions are expected to be carried through production delivery rather than handed off.

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