Cloud Data & AI Solutions Architect in Manchester

Cloud Data & AI Solutions Architect in Manchester

Manchester Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Oakland Everything Data

At a Glance

  • Tasks: Collaborate with clients to design cloud, data, and AI solutions for operational challenges.
  • Company: Join a forward-thinking company focused on innovative technology solutions.
  • Benefits: Flexible working model, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on collaboration and innovation.
  • Why this job: Lead impactful projects in cloud and AI while shaping the future of technology.
  • Qualifications: Experience in cloud platforms like Azure, AWS, or GCP and strong problem-solving skills.

The predicted salary is between 70000 - 90000 £ per year.

Oakland is seeking a Solutions Architect to collaborate with clients on cloud, data and AI solutions, addressing their most challenging operational problems.

You will lead the technical engagement, define and architect solutions, and oversee the build and delivery across Azure, AWS and GCP.

The role emphasizes designing data platforms and analytics solutions while working within a blended working model.

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Cloud Data & AI Solutions Architect in Manchester employer: Oakland Everything Data

At Oakland, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. With a strong commitment to employee growth, we provide personalised development plans, generous benefits including private healthcare and a robust pension scheme, and a focus on diversity and inclusion. Our Leeds HQ is not just a workplace; it's a community where you can thrive while making a meaningful impact through your work in data engineering.

Oakland Everything Data

Contact Details:

Oakland Everything Data Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Cloud Data & AI Solutions Architect in Manchester

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 Oakland Everything Data!

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 & AI Solutions Architect at Oakland Everything Data.

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 Oakland Everything Data.

Apply Directly through Our Website

When you find a suitable opening like Cloud Data & AI Solutions Architect at Oakland Everything Data, 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 & AI Solutions Architect in Manchester

Cloud Architecture
Data Solutions Design
AI Solutions Development
Technical Engagement
Azure
AWS
GCP

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 Oakland Everything Data, 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 Oakland Everything Data. 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 Oakland Everything Data

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 Oakland Everything Data!

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.