Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$121к-151к/год
$170к$190кмедиана$220к
По похожим ролям (47) ~ $190к/год
На СНГ рынке: $4.7к/мес ($3.8к - $5.4к)
66
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У роли понятная область ответственности и актуальные задачи на стыке архитектуры данных и AI, но зарплата заметно ниже ориентира для похожих позиций, что снижает общую привлекательность.
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Ниже рынкаАктуальные технологииРабота с AIПонятные задачи
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Architect (AI): Building a unified data foundation, semantic models, and AI-ready data products for North America Supply Chain analytics with an accent on Snowflake Semantic Views, lakehouse architecture, and governed data access. Focus on designing Cortex Agents, translating business requirements into reusable data models, and enabling BI, ML, GenAI, and conversational analytics.
Location: Chicago, IL — Chicago/Aon Center
Base salary: $120,800–$151,000 per year, plus eligibility for a performance-based bonus.
Company
hirify.global is a large food and manufacturing company focused on operational excellence, supply chain transformation, and data-driven decision-making.
What you will do
Execute data architecture strategy, lifecycle frameworks, and standards for the North America Supply Chain function.
Design source, insight, global, semantic, and reusable data models for BI, AI, and decision intelligence use cases.
Design and build Snowflake Semantic Views with governed business metrics, dimensions, and relationships.
Partner with Data Engineering to create trusted, documented, quality-assured AI-ready data products for GenAI, ML, and agentic applications.
Configure Cortex Agents using Cortex Analyst, Cortex Search, and Semantic Views to support conversational and agentic analytics.
Design lakehouse architecture with robust data access controls and security while collaborating with business stakeholders and product owners.
Requirements
Experience designing and implementing scalable, high-performance, reusable data models and data products.
Strong background in data warehouse and lakehouse implementation, including logical, physical, and conceptual ERD modeling.
Experience with data modeling tools such as ERWIN or ER/Studio.
Experience with data engineering orchestration frameworks, ELT tools, and Python libraries such as dbt, pandas, and Great Expectations.
Experience designing semantic models or Semantic Views and familiarity with Snowflake Cortex or comparable conversational AI platforms.
Ability to translate business requirements into technical solutions and explain complex concepts to executive stakeholders; knowledge of Agile, Jira, Confluence, and ERP tools such as SAP, OTM, O9, or OMP.
Culture & Benefits
Full-time employment with medical, dental, and vision coverage.
7% 401(k) matching and additional financial protection programs.
Paid time off, company holidays, leave of absence, and flexible work arrangements where applicable.
Wellbeing, employee assistance, family support, learning, training, and recognition programs.
Business Resource Groups supporting diversity, inclusion, and belonging.
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