At a Glance
- Tasks: Design and deliver enterprise-scale data platforms for advanced analytics and AI solutions.
- Company: Leading global organisation investing in cloud, data, and AI transformation.
- Benefits: Competitive salary, excellent benefits, and hybrid working model.
- Other info: Opportunity to work on large-scale transformation programmes with career growth.
- Why this job: Shape the future of data architecture and influence cutting-edge technology.
- Qualifications: Experience in enterprise data architecture and cloud technologies like AWS or GCP.
The predicted salary is between 60000 - 80000 £ per year.
Location: London (Hybrid - 1-2 days per week onsite)
Salary: £90,000 - £100,000 + Excellent Benefits
Job Type: Permanent
Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions.
This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies.
The Role
As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions.
Key Responsibilities
- Design and architect enterprise-scale cloud data platforms.
- Define data architecture strategies, standards and governance.
- Deliver modern data solutions using Databricks, Snowflake, AWS and GCP.
- Enable advanced analytics, AI and machine learning capabilities.
- Work closely with engineering, data and business teams to deliver end-to-end solutions.
- Provide technical leadership throughout the project lifecycle.
- Ensure solutions are secure, scalable and aligned with business objectives.
Skills & Experience
We're looking for professionals with experience in:
- Enterprise Data Architecture.
- Databricks.
- Snowflake.
- AWS and/or GCP.
- Designing modern cloud data platforms.
- Data Lakes, Data Warehouses and Lakehouse architectures.
- Data governance, security and architecture best practices.
- AI, Machine Learning or Data Science platforms (highly desirable).
- Banking, Financial Services or other highly regulated industries (preferred).
Data Architect in City of London employer: 83zero Ltd
At 83zero Ltd, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our remote-first approach allows for flexibility while still providing opportunities for meaningful engagement through occasional travel to London for key meetings. We are committed to employee growth, offering continuous learning and development opportunities, making us an ideal choice for professionals looking to advance their careers in enterprise transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in City of London
✨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 83zero Ltd!
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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 83zero Ltd.
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When you find a suitable opening like Data Architect at 83zero Ltd, 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 Data Architect in City of 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!
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 Ltd, 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 83zero Ltd. 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 Ltd
✨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 83zero Ltd!
✨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.
