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Senior Cloud Solution Architect (AWS)

Формат работы
onsite
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

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TL;DR
Senior Cloud Solution Architect (AWS/data platforms): Design and implement an enterprise data hub with an accent on real-time analytics, AI/ML use cases, secure cloud architecture, and scalable data processing. Focus on architecting streaming and event-driven solutions, integrating governance and security patterns, and guiding implementation through Infrastructure-as-Code, automation, and CI/CD.

Location: USA – EDS Troy Corporate Offices; local residents only, with the ability to work onsite in Troy, MI

Company

hirify.global designs and delivers electrical distribution systems for vehicles, robotics, energy platforms, and other electrified, automated, and connected products.

What you will do

  • Lead the design and implementation of an enterprise cloud-based data hub.
  • Architect scalable, secure, reliable, and cost-optimized solutions for real-time, near-real-time, and batch data processing.
  • Define patterns for data ingestion, streaming, storage, processing, governance, integration, and consumption.
  • Make technical decisions on cloud services, data platforms, integration patterns, and architectural standards.
  • Provide hands-on guidance for Infrastructure-as-Code, automation, CI/CD, and Python-based prototypes and solution accelerators.
  • Collaborate with enterprise architecture, data engineering, analytics, AI/ML, security, and application teams while mentoring engineering teams.

Requirements

  • Bachelor’s degree in Engineering or an equivalent technical discipline.
  • 8–10 years of experience designing and delivering solutions on major cloud platforms, with strong hands-on AWS experience.
  • Experience designing and implementing real-time or near-real-time data processing solutions, including streaming and event-driven architectures.
  • Experience with a cloud-based data warehouse or analytics platform such as Snowflake or Databricks.
  • Proficiency in Python, DevOps practices, and Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Experience designing secure, scalable, and highly available enterprise cloud solutions, plus exposure to modern AI/ML and agentic AI tools.

Nice to have

  • Working knowledge of Microsoft Azure.

Culture & Benefits

  • Private health care effective from the first day of employment.
  • Life and accident insurance, paid holidays, vacation, designated time off, and parental leave.
  • Relocation assistance may be available.
  • Learning and development opportunities, tuition reimbursement, and discount programs.
  • Recognition for innovation and excellence, community involvement opportunities, adoption assistance, and fertility coverage.

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