Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$152к-198к/год
$160к$170кмедиана$210к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
85
Хорошая вакансия
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Чётко описанные задачи старшего архитектора данных, зарплата на уровне рынка и широкий пакет льгот делают вакансию привлекательной, но потребуется работать из офиса часть недели, а спонсорства визы нет.
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Без спонсорства визыСовременные технологииПонятные задачиЗарплата на уровне рынкаХороший пакет льгот
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Architect, IT-Data Architecture (Data Architecture): Designing and implementing data architectures, pipelines, and models that expose secure and efficient data to the enterprise with an accent on SQL, ETL/ELT, cloud platforms, data warehousing, and database technologies. Focus on advising data engineers, integrating analytics into business operations, protecting data privacy, and applying machine learning and predictive modeling.
Location: Deerfield, Illinois, United States; hybrid workplace with a required minimum number of onsite days per week. Applicants must be authorized to work for any employer in the U.S.
Salary: $152,000–$198,000 annually.
Company
hirify.global is a healthcare company focused on redefining healthcare delivery and saving and sustaining lives.
What you will do
Design and implement data architectures for data pipelines.
Create and maintain data models that represent and optimize data for enterprise databases.
Advise data engineers on data pipeline development best practices.
Develop and maintain secure, efficient data pipelines for stakeholder access.
Collaborate with cross-functional teams to gather requirements and integrate data analytics into business operations.
Implement data privacy and security controls and stay current with data architecture trends and technologies.
Requirements
Bachelor’s degree in Computer Science, Data Analytics, or a related field.
At least 5 years of experience in data modeling or data warehousing.
At least 5 years of experience with AWS, Azure, or an equivalent cloud computing platform.
Strong background in SQL, ETL/ELT tools, data modeling tools, and RDBMS.
Strong understanding of data architecture principles and patterns.
Excellent communication, collaboration, and critical thinking skills.
Experience with machine learning and predictive modeling.
Nice to have
Master’s degree.
Experience with Unix, Linux, or an equivalent operating system.
Experience with data engineering or data pipeline development.
Culture & Benefits
Flexible workplace policy with required onsite collaboration.
Medical and dental coverage beginning on day one, plus life, accident, disability, and business travel accident insurance.
Employee Stock Purchase Plan and 401(k) retirement savings plan with employee contributions and company matching options.
Educational assistance, paid holidays, 20–35 days of paid time off based on length of service, family and medical leave, and paid parental leave.
Commuting benefits, employee discounts, employee assistance, and childcare benefits.
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