At a Glance
- Tasks: Design and deliver innovative data architecture solutions for AI-driven insights.
- Company: Dynamic tech firm in Central London with a focus on cloud-native architectures.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Join a collaborative team and mentor others while exploring emerging technologies.
- Why this job: Make a real impact by shaping enterprise technology strategies and leading cutting-edge projects.
- Qualifications: Experience in data architecture, cloud platforms, and strong stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
Hybrid WORKING
Location
Central London, Greater London - United Kingdom
Type
Permanent
We're looking for an experienced AI & Data Architect to lead the design and delivery of modern, enterprise-scale data solutions.
If you're passionate about building cloud-native architectures, enabling AI-driven insights, and helping organisations unlock the value of their data, this is an opportunity to make a real impact.
You’ll work alongside business and technology leaders to architect innovative solutions that support analytics, AI, governance, and digital transformation programmes across a range of industries.
- What You'll Be Doing
- Design and deliver end-to-end data architecture solutions aligned to business objectives.
- Build scalable data platforms, pipelines and ETL processes across modern cloud environments.
- Develop conceptual, logical and physical data models, including dimensional and relational modelling.
- Integrate modern cloud platforms with legacy systems to enable seamless data access and reporting.
- Establish architecture standards covering security, governance, scalability, performance and cost optimisation.
- Lead technical design, architecture governance and best practice across multiple data initiatives.
- Implement robust data governance and quality frameworks to ensure trusted, compliant data.
- Apply AI technologies to enhance data solutions through intelligent automation, predictive monitoring and advanced analytics.
- Translate complex technical concepts into clear recommendations for senior business stakeholders.
- Mentor technical teams and champion emerging technologies, tools and architecture approaches.
What We're Looking For
- Proven experience designing and delivering enterprise data architecture solutions.
- Strong background building cloud-based data platforms, ETL pipelines and data engineering solutions.
- Expertise with Azure, AWS or Google Cloud data services and modern data platforms.
- Experience with data modelling techniques including dimensional, relational or Data Vault modelling.
- Knowledge of data governance, metadata management and data quality frameworks.
- Experience working with AI and machine learning within data platforms, alongside an understanding of AI governance.
- Familiarity with platforms such as Snowflake or Microsoft Fabric.
- Experience delivering analytics and reporting solutions using tools such as Power BI, Tableau or Looker.
- Strong stakeholder management skills with the ability to communicate complex technical solutions to both technical and non-technical audiences.
- Previous experience leading projects, workstreams or technical teams.
If you're an experienced Data Architect looking to lead cutting-edge AI and cloud data programmes while shaping enterprise technology strategy, we'd love to hear from you.
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AI/Data Architect employer: eFinancialCareers
As a leading global asset manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to work with cutting-edge AI tools that enhance their skills and productivity. Join us to be part of a team that not only drives success but also prioritises employee well-being and growth in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land AI/Data Architect
✨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 eFinancialCareers!
✨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 AI/Data Architect at eFinancialCareers.
✨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 eFinancialCareers.
✨Apply Directly through Our Website
When you find a suitable opening like AI/Data Architect at eFinancialCareers, 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 AI/Data Architect
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 eFinancialCareers, 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 eFinancialCareers. 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 eFinancialCareers
✨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 eFinancialCareers!
✨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.
