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3 дня назад

Data Solution Architect (AI)

Формат работы
onsite/hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Solution Architect (AI): Leading data solution architecture and design across the change lifecycle using cloud-native technologies, with an accent on Azure, Snowflake, AI, and advanced analytics. Focus on shaping data architecture patterns, evaluating emerging technologies, and embedding AI capabilities into the data platform.

Location: Bexhill or Leicester, United Kingdom. Workplace type: In office, with a flexible hybrid working approach also available.

Company

hirify.global develops data architecture and platform solutions that support pricing, analytics, counter-fraud, AI, and advanced analytics capabilities.

What you will do

  • Lead and undertake data solution architecture and design work across the change lifecycle.
  • Provide technical leadership, guidance, and consultancy to internal teams.
  • Create data solution architecture designs, design principles, and architecture patterns.
  • Select technologies and contribute to technical enablers and proof of concepts, including emerging AI capabilities.
  • Shape how AI is embedded into the data platform and architecture patterns.
  • Work with stakeholders and development teams to synthesise requirements and technology into solution architectures and champion the resulting architecture.

Requirements

  • Experience, knowledge, and skills in data solution architecture and design.
  • Cloud experience, particularly Microsoft Azure.
  • Knowledge of cloud data warehouses, particularly Snowflake.
  • Understanding of AI and ML platforms and tooling, especially Snowflake Cortex.
  • Experience or interest in AI-assisted architecture and design tools, including Cortex and GitHub Copilot.
  • Knowledge of data orchestration and transformation tools, including Azure Data Factory and dbt.
  • Knowledge of CI/CD tooling, including Azure DevOps and Snowflake DCM.
  • Knowledge of data catalogues, including Horizon.
  • Broad understanding of data architecture, data modelling, business intelligence, data quality, data management, and DataOps.
  • Strong communication skills and the ability to work with stakeholders and development teams.

Culture & Benefits

  • Flexible hybrid working approach with office and home-working arrangements discussed with the recruiter.
  • Training, development, recognition, rewards, and opportunities to contribute ideas.
  • Annual 4Cs performance bonus based on company and individual performance.
  • Healthcare cash plan and financial wellbeing support.
  • Life assurance at four times salary, income protection, and pension contribution matching up to 10%.
  • Equal-opportunities workplace with reasonable adjustments available during recruitment.

Hiring process

  • Recruitment includes a thorough referencing process with credit and criminal record checks.
  • Reasonable adjustments can be requested during the recruitment process.

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