At a Glance
- Tasks: Design and implement enterprise-scale data platforms for analytics and AI.
- Company: Join a leading global technology consultancy with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team with exciting projects in the tech industry.
- Why this job: Shape the future of data solutions and drive impactful decision-making.
- Qualifications: Experience in AWS architecture and strong leadership skills.
The predicted salary is between 72000 - 88000 Β£ per year.
83zero, in partnership with a leading global technology consultancy, is recruiting an experienced AWS Data Solution Architect.
You will own end-to-end design of enterprise-scale data platforms to enable analytics, AI, Gen AI, and data-driven decision making across UK environments.
You will lead architecture decisions, define data integration, security, and governance across multi-account AWS deployments, and mentor delivery teams on modern cloud data architectures.
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AWS Data Solution Architect β Hybrid UK (SC Eligible) in London employer: 83zero
As a Senior Salesforce Developer with us, you'll thrive in a dynamic and inclusive work culture that prioritises innovation and professional growth. Our commitment to employee development is reflected in our comprehensive benefits package, which includes competitive salaries, healthcare, and ongoing training resources, all while working with cutting-edge Salesforce technologies in a hybrid environment across the UK. Join us to make a meaningful impact in a highly regulated sector, where your expertise will drive digital transformation and shape the future of our solutions.
StudySmarter Expert Adviceπ€«
We think this is how you could land AWS Data Solution Architect β Hybrid UK (SC Eligible) in London
β¨Get Involved in Data Science Meetups
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β¨Leverage Professional Networks
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We think you need these skills to ace AWS Data Solution Architect β Hybrid UK (SC Eligible) in London
Some tips for your application π«‘
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. Donβt forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at 83zero, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youβre a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 83zero. 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!
How to prepare for a job interview at 83zero
β¨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
β¨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, itβll really make us stand out!
β¨Get Comfortable with Python and R
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β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.