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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
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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