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1 день назад

Data Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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): Designing end-to-end data platforms for complex client programmes with an accent on ingestion, orchestration, governance, security, cost optimisation, and observability. Focus on translating business needs into scalable, resilient, and secure solutions, leading engineering teams, and solving complex client challenges across multi-cloud and AI-enabled environments.

Location: London, United Kingdom; hybrid working with attendance in the office or on client site for a minimum of two days per week, with some assignments requiring up to five days per week on client site.

Company

hirify.global operates within a global consulting environment delivering technology, data, and innovation solutions across multiple industries.

What you will do

  • Define data blueprints and architectures for complex client programmes.
  • Design 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 establish practical architecture as a senior subject-matter expert.
  • Own end-to-end assignment delivery, lead bids, identify opportunities, and contribute to business growth.
  • Set technical direction, develop thought leadership, and support the growth of less experienced colleagues.

Requirements

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

Nice to have

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

Culture & Benefits

  • Agile, cross-functional work with engineering, product, design, and consulting specialists.
  • Technical career progression without requiring a move to the Partner career track.
  • Learning budget for technical and non-technical courses, plus certification opportunities.
  • Private healthcare for employees and their families, 25 days of annual leave, and the option to buy five additional days.
  • Company pension scheme, performance-based bonus, share ownership, and tax-efficient benefits.
  • Inclusive workplace focused on equality, professional growth, and employee well-being.

Hiring process

  • Initial call with a technology recruiter.
  • Two 60-minute competency or technical interviews, covering both formats.
  • Final 60-minute meeting with a PA leader, including a mini case study and client-centricity discussion.

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