The Databricks AI Architect designs and leads scalable data, analytics, and artificial intelligence platforms using Databricks and related cloud technologies. Requirements typically include strong experience with Databricks, Apache Spark, Python or Scala, SQL, data engineering, machine learning, and cloud platforms such as Azure or AWS. The candidate should understand lakehouse architecture, data governance, security, MLOps, and enterprise integration. Responsibilities may include defining technical roadmaps, creating architecture standards, advising clients, supporting proposals, and guiding engineering teams. Capgemini will expect strong communication, stakeholder management, consulting capability, and the ability to translate business needs into practical technology solutions. Relevant Databricks, cloud, data, or enterprise architecture certifications would be advantageous.
Capgemini is a global business and technology transformation company headquartered in France, with a substantial presence across the United Kingdom. It provides consulting, technology services, engineering, cloud, data, artificial intelligence, cybersecurity, and managed services to organisations in sectors including financial services, government, manufacturing, retail, energy, and telecommunications. The company helps clients modernise legacy systems, improve customer experiences, adopt cloud platforms, and use data more effectively. Capgemini employs a large international workforce and works with major technology partners, including Microsoft, AWS, Google Cloud, SAP, and Databricks. Its UK teams typically operate through a combination of client-site, office, and hybrid working arrangements. Career opportunities often include formal training, professional certifications, international collaboration, and progression into specialist, consulting, delivery, or leadership roles.
The United Kingdom offers strong opportunities in technology, particularly in London, Manchester, Edinburgh, Birmingham, Bristol, Leeds, and Cambridge. Demand is high for cloud architects, data engineers, AI specialists, cybersecurity professionals, and consultants. Workplace culture is generally professional, collaborative, and increasingly hybrid, with good emphasis on inclusion and work-life balance. Lifestyle varies from busy city living to quieter coastal and rural communities, supported by extensive public transport, cultural attractions, healthcare, and education. Non-UK nationals usually need permission to work, commonly through the Skilled Worker visa, which requires an eligible sponsored role, salary threshold, and English-language evidence. Some applicants may qualify for the Global Talent or other routes. Relocation planning should cover accommodation costs, taxation, National Insurance, banking, healthcare access, and right-to-work checks. London salaries are higher, but living expenses are also significantly greater.
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