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8 дней назад

Azure Databricks Architect (Azure Databricks)

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
Azure Databricks Architect (Azure/Databricks): Designing enterprise-scale cloud data platforms and lakehouse architectures with an accent on Databricks governance, Azure security, FinOps, and platform transformation. Focus on modernising analytical platforms, building scalable integration and consumption layers, and leading architecture decisions across delivery teams.

Location: United Kingdom; hybrid work across company offices, client sites, and home, with regular non-home work required

Company

hirify.global, part of the Capgemini Group, delivers technology solutions and business transformation services for clients through local teams backed by global scale.

What you will do

  • Architect enterprise-scale Azure Databricks platforms and scalable, secure, cost-optimised cloud data platforms.
  • Develop platform strategies, roadmaps, governance models, architecture blueprints, reference architectures, and technical standards.
  • Design lakehouse architectures, data integration frameworks, and BI, analytics, AI/ML, and consumption layers.
  • Lead FinOps operating models, cost attribution, budget governance, chargeback/showback, tagging, and policy enforcement.
  • Drive platform transformation, including Discovery Zone architecture, onboarding frameworks, and migration from POSIT/RStudio and other analytical platforms.
  • Lead architecture decisions across delivery teams while engaging business, security, and enterprise architecture stakeholders and mentoring technical teams.

Requirements

  • Proven experience architecting enterprise-scale Azure Databricks platforms.
  • Deep knowledge of Databricks Serverless, SQL Warehouses, Delta Lake, Unity Catalog, platform governance, and Azure networking, identity, security, and private connectivity.
  • Experience with enterprise-scale performance and workload optimisation, data governance, secure integration patterns, regulatory alignment, and operational controls.
  • Experience designing end-to-end data platforms, lakehouse architectures, data integration frameworks, and cloud transformation programmes.
  • Strong stakeholder management, technical leadership, documentation, and standards development skills.
  • Ability to work in a hybrid model across company offices, client sites, and home; 100% home working is not available.

Nice to have

  • Experience with large-scale Azure and Databricks transformation programmes or POSIT/RStudio consolidation.
  • AI/ML platform architecture, LLM, model serving, vector retrieval, or RAG architecture experience.
  • Experience in financial services, insurance, public sector, utilities, or other regulated industries.

Culture & Benefits

  • Hybrid-first working with flexible working arrangements for UK employees.
  • Training and development through thinktanks, hackathons, external certifications, and access to 250,000 courses.
  • Opportunities to work on technology transformation and sustainability initiatives for major organisations.
  • Inclusive recruitment through Capgemini’s Disability Confident Employer Level 2 commitment.

Hiring process

  • Pre-employment checks include identity, nationality or immigration status, three years of employment history, and an unspent criminal record check.
  • Candidates who declare a disability and meet the minimum essential criteria will be offered an interview.

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