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4 дня назад

Sr. Architect, IT-Data Architecture

152 000 - 198 000$
Формат работы
hybrid
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
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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