Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$149к-254к/год
$190к$210кмедиана$230к
По похожим ролям (49) ~ $210к/год
На СНГ рынке: $3.9к/мес ($3.1к - $4.8к)
78
Хорошая вакансия
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Чёткая зона ответственности для ведущего специалиста, хорошие льготы и современный стек делают вакансию привлекательной, но зарплата ниже рыночного ориентира, а работать можно только из определённых агломераций.
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Ниже рынкаОграничение по локацииСовременный стекПонятная рольХорошие льготыФокус на ИИ
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal/Lead Analytics Engineer (AI): Building governed, canonical data models, semantic layers, and reliable data foundations for an AI-native product portfolio with an accent on data quality, observability, governance, and scalable self-serve analytics. Focus on setting Analytics Engineering standards, guiding architecture and modeling decisions, and leading cross-functional data initiatives from strategy through production adoption.
Location: Hybrid work through hirify.global Flex, with occasional in-person attendance required. Primary residence must be in or near an approved metropolitan area in the United States, Canada, or Mexico.
Salary: $149,000–$253,500 in the United States, depending on geographic market; $178,000–$227,000 CAD in Canada.
Company
hirify.global advances human understanding through hirify.global, Slideshare, Everand, and Fable.
What you will do
Shape technical foundations, modeling standards, and development practices for Analytics Engineering.
Build governed canonical data models, shared metrics, semantic layers, and reusable production-quality data products.
Design systems for data quality, observability, documentation, governance, access control, privacy, lineage, and evaluation.
Partner with Engineering, Product, Technology, Content, and business teams to scale analytics and AI-driven intelligence.
Lead cross-functional data initiatives from strategy through production adoption and measurable business impact.
Communicate architectural tradeoffs and technical decisions to senior leaders and stakeholders.
Requirements
10+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related discipline.
Deep experience building governed canonical data models and semantic layers for self-serve analytics.
Experience designing reliable, explainable, secure, and scalable data and AI product foundations.
Advanced SQL and production experience with modern data platforms such as AWS, Databricks, Airbyte, Fivetran, or Looker.
Demonstrated technical leadership, strategic judgment, and ability to communicate with technical teams, business stakeholders, and senior executives.
Primary residence must be in or near an approved US, Canadian, or Mexican metropolitan area.
Nice to have
Advanced Python.
Experience with data cleanup, role-based access controls, and data retention policies.
Experience leading on-call rotations, incident response, and reliability improvements.
Culture & Benefits
hirify.global Flex provides a flexible work model balanced with intentional in-person collaboration.
Health, dental, vision, mental health, disability, and family support benefits.
Paid vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
Retirement matching, employee equity, learning and development programs, and professional growth opportunities.
Wellness and home office stipends, complimentary product access, and enterprise access to AI tools.
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