At a Glance
- Tasks: Lead the design of enterprise-scale data platforms and drive AI integration.
- Company: Respected tech organisation delivering innovative Data & AI solutions.
- Benefits: Competitive salary up to £115,000, career growth, and a supportive culture.
- Other info: Hybrid role with on-site work required at least 3 days a week.
- Why this job: Shape the future of data and AI while making a real impact.
- Qualifications: Experience in cloud data platforms, AI, and strong solution design skills.
The predicted salary is between 78750 - 96250 £ per year.
Job Description
AWS Data Architect - London (Hybrid) - Up to £115,000
Are you passionate about shaping the future of data and AI on modern cloud platforms?
I'm working with a highly respected technology organisation who deliver Data & AI solutions across various enterprises.
As an architect, you'll lead the design and delivery of enterprise-scale data platforms, helping clients build modern analytics capabilities and adopting emerging AI technologies.
You'll work closely alongside senior stakeholders to define strategy, drive architectural decisions and lead multidisciplinary teams delivering scalable, secure and cloud- solutions.
Alongside this, you'll also be responsible for architecting end-to-end capabilities, leading through data ingestion, storage, transformation, real-time processing and AI integration.
Key Skills & Requirements
- Proven experience in cloud- data and analytics platforms.
- AI and Machine Learning experience, as well as MLOps/AIOps.
- Strong understanding of solution design and the full data life cycle.
- Solid understanding of data management, governance and security.
- Familiarity with Python or SQL.
What Do They Offer?
- An exceptional compensation package.
- Base salary up to £115,000
- Opportunity to grow on an exciting career path.
- Culture that recognises and acknowledges your contributions.
They want someone who can bring a deep knowledge of AI and Machine learning into the function, someone who can provide real strategic direction while aligning to the business objectives.
Could this be you?
All candidates must be able to travel on-site at least 3 days a week. To be eligible for this role you're required a full, unrestricted right to work in the UK.
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Data Architect - AWS in London employer: Energy Jobline ZR
World Wide Technology (WWT) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Programme Director in London. With a strong focus on employee growth, WWT offers opportunities to lead cutting-edge automation projects while working in a hybrid environment that promotes work-life balance. The company values transparent communication and client-first service, ensuring that employees are empowered to drive meaningful outcomes and develop their skills in a supportive atmosphere.
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We think this is how you could land Data Architect - AWS in London
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We think you need these skills to ace Data Architect - AWS in London
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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Craft a Tailored Cover Letter:For a full-time role at Energy Jobline ZR, 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 Energy Jobline ZR. 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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✨Brush Up on Your Statistics
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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 Energy Jobline ZR!
✨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.
