Cloud Data Solutions Architect – Azure & AWS Expert in Sunderland

Cloud Data Solutions Architect – Azure & AWS Expert in Sunderland

Sunderland Full-Time 60000 - 80000 Β£ / year (est.) Home office (partial)
Apexon

At a Glance

  • Tasks: Design and implement cloud-native data platforms using Azure and AWS.
  • Company: Apexon, a forward-thinking tech company based in Sunderland.
  • Benefits: Health benefits, ongoing professional development, and hybrid work options.
  • Other info: Join a dynamic team focused on achieving strategic data goals.
  • Why this job: Shape data strategies and deliver innovative solutions for clients.
  • Qualifications: Expertise in Azure and AWS with strong collaboration skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Apexon is looking for a Data Solution Architect based in Sunderland to design and implement modern cloud-native data platforms. The ideal candidate will have expertise in both Azure and AWS and will work closely with clients to shape their data strategies and deliver innovative solutions.

This hybrid role involves presenting architectural options to clients, collaborating with cross-functional teams, and helping Apexon and its clients achieve strategic data goals.

Ongoing professional development and health benefits are provided.

Cloud Data Solutions Architect – Azure & AWS Expert in Sunderland employer: Apexon

Apexon is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Cloud Data Solutions Architect. Located in Sunderland, employees benefit from ongoing professional development opportunities and comprehensive health benefits, ensuring a rewarding career path while contributing to cutting-edge cloud-native data solutions. Join us to be part of a team that values creativity and strategic thinking in achieving impactful data goals.

Apexon

Contact Details:

Apexon Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Cloud Data Solutions Architect – Azure & AWS Expert in Sunderland

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Apexon!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Cloud Data Solutions Architect – Azure & AWS Expert at Apexon.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Apexon.

✨Apply Directly through Our Website

When you find a suitable opening like Cloud Data Solutions Architect – Azure & AWS Expert at Apexon, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Cloud Data Solutions Architect – Azure & AWS Expert in Sunderland

Cloud-Native Data Platforms
Azure Expertise
AWS Expertise
Data Strategy Development
Client Collaboration
Architectural Design
Cross-Functional Teamwork

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!

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 Apexon, 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 you’re 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 Apexon. 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 Apexon

✨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!

✨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, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Apexon!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d 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.