At a Glance
- Tasks: Shape and deliver innovative data solutions for a major public sector client.
- Company: Capgemini, a leader in data architecture with a focus on public sector impact.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to transforming data management in the public sector.
- Why this job: Make a real difference in public service through cutting-edge data architecture.
- Qualifications: Experience in data architecture, cloud migrations, and strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
Capgemini is expanding its data architecture capability for a major UK public sector client.
You will shape and deliver data and analytics solutions to support priorities like efficiency, revenue, fraud reduction and policy responsiveness.
You will own end-to-end data architecture across cloud migrations, data management, lakehouse deployments and modern pipelines, with strong governance and technical leadership from design through live service.
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Senior Data Architect - Cloud, AI & Lakehouse (SC) in Telford employer: Undisclosed
Experis is an exceptional employer, offering a dynamic work environment in London or Manchester where collaboration and innovation thrive. With a strong focus on employee growth, we provide comprehensive benefits including a contributory pension programme, medical and dental cover, and generous holiday allowances, ensuring our team members feel valued and supported in their professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect - Cloud, AI & Lakehouse (SC) in Telford
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We think you need these skills to ace Senior Data Architect - Cloud, AI & Lakehouse (SC) in Telford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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