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Data Principal (Hands-on Architect)

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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TL;DR
Data Principal (Hands-on Architect) (Data/AI): Leading the local Data & AI Practice and designing scalable data products and AI solutions on modern cloud platforms with an accent on Azure, AWS, Databricks, Snowflake, data architecture, and client delivery. Focus on building secure data pipelines and products, applying RAG, Data Mesh, and MLOps patterns, and guiding teams through complex enterprise data challenges.

Location: Leeds, England, United Kingdom; Workplace: Hybrid

Company

hirify.global helps organisations address technology challenges by combining human expertise, emerging technology, and AI through consulting, delivery, and capability development.

What you will do

  • Lead the local Data & AI Practice and support regional club leadership.
  • Lead client-facing data delivery and translate complex data concepts into business value.
  • Design scalable, extensible, and secure data architectures, products, pipelines, and datasets.
  • Guide teams through the full data product lifecycle, including discovery, storage, ETL, streaming, quality, metadata, and analytics.
  • Design and guide AI solutions using modern data platforms, foundational language models, human-in-the-loop approaches, and MLOps.
  • Build data capability, develop teams, collaborate with global practice groups and technology partners, and deepen client partnerships.

Requirements

  • Proven experience managing and inspiring teams and solving enterprise-scale problems.
  • Strong client-facing delivery, stakeholder management, and communication skills across multi-vendor environments.
  • Extensive experience with Microsoft Azure and/or AWS native data services.
  • Production experience with Databricks, Snowflake, or Fabric and delivery using an Agile mindset.
  • Expertise in data architecture patterns including RAG, serverless, data warehouse models, Data Mesh, and Data Products.
  • Hands-on fluency in Python, R, or SQL, with strong knowledge of data quality, metadata management, AI, and modern data platforms.

Culture & Benefits

  • Work in regional clubs of no more than 80 people while remaining connected to a larger organisation.
  • Access practice areas focused on learning, collaboration, and craft development.
  • 25 days of bookable holiday plus flexible bank holidays.
  • Employer pension contribution of 6%, with a further 2% employee contribution.
  • Aviva healthcare cover, life assurance, income protection, and eye-care benefits.
  • £1,000 Flexibenefit allowance, enhanced parental leave, and an inclusive working environment.

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