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2 дня 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): 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 leading engineering teams, translating business needs into scalable solutions, and solving complex client challenges across multi-cloud, data warehousing, AI, and analytics environments.

Location: Bristol, UK; hybrid working with attendance at the office or client site at least two days per week, potentially up to five days per week on a client site

Company

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

What you will do

  • Define data blueprints and architecture 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, develop best practices, and support the growth of newer team members.

Requirements

  • Hands-on data experience, including leading engineering teams delivering applications and services.
  • 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, client-facing, and stakeholder collaboration 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.

Culture & Benefits

  • Agile, cross-functional work with engineering teams, clients, and stakeholders.
  • Technical career progression, coaching, mentoring, and knowledge-sharing opportunities.
  • Training budget and support for professional certifications.
  • Private healthcare for employees and families.
  • 25 days of annual leave, plus a bonus half day on Christmas Eve and the option to buy five additional days.
  • Company pension scheme, performance-based bonus, share ownership, and tax-efficient benefits.

Hiring process

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

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