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1 день назад

Senior Data Architect (AWS, Azure, GCP)

Формат работы
remote (только USA)/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
Senior Data Architect (AWS, Azure, GCP): Designing and delivering modern enterprise data architectures that improve data integration, quality, governance, and delivery with an accent on cloud services, real-time data distribution, NoSQL, and data warehouses. Focus on leading data engineering teams, balancing architectural trade-offs, advising executive stakeholders, and aligning technical solutions with client business goals.

Location: Columbus, Ohio, USA; employees must be available to work onsite at a client location or hirify.global office as requested, with remote work available when compatible with client and company needs.

Company

hirify.global is a consulting firm delivering technology solutions for Fortune 100 companies, mid-sized enterprises, and government agencies.

What you will do

  • Assess data management technologies and define target-state practices and architectures.
  • Develop strategic plans for data integration, quality, governance, and delivery.
  • Evaluate solution options, articulate architectural trade-offs, and recommend optimal designs.
  • Lead data engineers and technical teams through architecture, implementation, and best practices.
  • Advise executive stakeholders and development teams on maximizing the value of enterprise data.
  • Support business development by demonstrating technical capabilities, shaping proposed solutions, and estimating delivery plans.

Requirements

  • 7+ years of experience implementing on-premises and cloud data management, integration, visualization, and analytics technologies.
  • Advanced proficiency in modern data architecture across AWS, Azure, and GCP.
  • Experience with real-time data distribution technologies such as Kafka, Kinesis, DataFlow, and Airflow.
  • Experience with NoSQL databases, Snowflake, Databricks, SQL, and Python.
  • Ability to design end-to-end data solutions covering ingestion, storage, and relational modeling.
  • Must be authorized to work directly for any employer in the United States; visa sponsorship is not available.

Nice to have

  • Previous consulting industry experience.
  • Experience mentoring talent and contributing to Data & Analytics capability growth.
  • Awareness of emerging data technologies and practices.

Culture & Benefits

  • Flexible work environment supporting onsite and remote work based on client and company needs.
  • Customizable career progression with certification, tuition support, mentorship, and digital learning programs.
  • Health coverage, disability insurance, generous paid time off, and paid family leave.
  • Mental health, fertility, family-forming, and personalized lifestyle benefit programs.
  • Employee resource groups, philanthropic partnerships, and 401(k) matching with no vesting period.

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