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23 часа назад

Data Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Norway +5 еще
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
Data Architect (AI) (Data Platforms/Cloud): Defining data blueprints and architecting end-to-end data platforms for complex client programmes with an accent on ingestion, orchestration, governance, security, cost optimisation, and observability. Focus on designing scalable, resilient, and secure solutions, leading engineering teams, and translating client business needs into practical architectures.

Location: Bristol, United Kingdom; hybrid working with attendance in the office or on client site a minimum of 2 days per week, potentially up to 5 days per week on a client site.

Company

hirify.global is a global consulting firm delivering strategy, design, engineering, science, and technology solutions across multiple industries.

What you will do

  • Define data blueprints and architectures for complex client programmes.
  • Architect end-to-end data platforms covering ingestion, orchestration, governance, security, cost optimisation, and observability.
  • Translate business needs into scalable, resilient, and secure data solutions.
  • Lead engineering teams and take ownership of end-to-end assignment delivery.
  • Lead bids, identify new opportunities, and contribute to business growth.
  • Set technical direction, support colleagues, and develop thought leadership and best practices.

Requirements

  • Hands-on data experience, including leading engineering teams delivering applications and services.
  • Strong practical understanding of data architecture and delivery methodologies.
  • Ability to work across the data domain and understand the impact of AI on solutions and delivery.
  • Strong problem-solving, analytical, collaboration, and stakeholder-management skills.
  • Experience with leading cloud and data platforms such as AWS, Azure, Google Cloud Platform, Databricks, or Snowflake.

Nice to have

  • Certifications in relevant methodologies or cloud technologies.
  • Experience across multiple leading technology vendors.

Culture & Benefits

  • Inclusive, trust-based environment with technical and leadership career paths.
  • Opportunities to work on varied client projects across seven sectors and collaborate with interdisciplinary teams.
  • Training budget, access to courses, and certification opportunities.
  • Private healthcare for employees and families, 25 days of annual leave, and the option to buy 5 additional days.
  • Company pension scheme, performance-based bonus, PA share ownership, and tax-efficient benefits.

Hiring process

  • Initial call with a technology recruiter.
  • Two competency or technical interviews.
  • Final meeting with a PA leader, including a mini case study and client-centricity discussion.

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