At a Glance
- Tasks: Design and implement cutting-edge analytics platforms using AWS services.
- Company: Join Amazon, a leader in cloud technology and innovation.
- Benefits: Attractive salary, comprehensive benefits, and opportunities for remote work.
- Other info: Collaborative environment with strong potential for career advancement.
- Why this job: Shape the future of data analytics and drive impactful decisions.
- Qualifications: Experience in analytics architecture and proficiency with AWS tools.
The predicted salary is between 72000 - 88000 £ per year.
Amazon in the United Kingdom seeks a Senior Analytics Solutions Architect to design end-to-end analytics platforms, leveraging AWS services like Redshift, Glue, Kinesis, and Quick Sight.
You will translate business needs into scalable data architectures across data lakes, lakehouses, and real-time pipelines.
You will lead migrations from legacy systems, deliver Po Cs, and shape analytics reference architectures, collaborating with cross-functional teams to enable data-driven decision making.
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Senior Analytics Architect – Cloud Data Platforms (UK & IE) in City of Westminster employer: Amazon Inc.
At Amazon Development Centre in Edinburgh, we are committed to fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. As an Applied Scientist in our Intelligent Talent Acquisition team, you will have the opportunity to work on cutting-edge machine learning technologies that directly impact recruitment processes, while benefiting from mentorship and professional growth opportunities. Join us to make a meaningful difference in how talent is acquired globally, all within a vibrant city known for its rich history and dynamic tech scene.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Architect – Cloud Data Platforms (UK & IE) in City of Westminster
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We think you need these skills to ace Senior Analytics Architect – Cloud Data Platforms (UK & IE) in City of Westminster
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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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amazon Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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