At a Glance
- Tasks: Lead the design of large-scale cloud data platforms for top clients in insurance.
- Company: Templeton & Partners, a leader in tech solutions for the financial sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Engage with senior stakeholders and drive impactful data solutions.
- Why this job: Shape enterprise data architecture and influence cloud strategy in a dynamic industry.
- Qualifications: 12+ years of experience in AWS, Databricks, and MongoDB with insurance knowledge.
Templeton & Partners seeks an experienced Data Architect to lead the design and implementation of large-scale cloud data platforms for clients in the UK Insurance and Financial Services sector. The role requires deep expertise in AWS, Databricks, and MongoDB, with strong domain knowledge in insurance.
Location: United Kingdom (Hybrid).
Experience: 12+ years.
You will shape enterprise data architecture and drive cloud data strategy, engaging senior stakeholders across business and technology.
Cloud Data Architect – AWS/Databricks (UK Insurance) in London employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Templeton & Partners is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the Media & Entertainment sector. With a strong emphasis on employee growth, you will have access to professional development opportunities while enjoying the flexibility of a hybrid working arrangement. Join us to make a meaningful impact through your analytical expertise in a supportive environment that values your contributions.
Contact Details:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Architect – AWS/Databricks (UK Insurance) in London
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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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