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For Companies At a Glance
- Tasks: Design and manage data architectures to optimise data flow and accessibility.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data management and make a significant impact in the tech industry.
- Qualifications: Proficiency in data modelling, SQL, and strong analytical skills required.
- Other info: Dynamic team environment with a focus on continuous learning and development.
The predicted salary is between 36000 - 60000 £ per year.
Essential Skills & Experience
- Proficiency with traditional data modelling techniques (IDEF1x, IE) and tooling such as Erwin, Solidatus (Data Lineage), Safyr, ABACUS, or Archi.
- Experience creating and maintaining enterprise data dictionaries, taxonomies, and metadata standards.
- Strong analytical and problem-solving skills with both logical and lateral thinking capability.
- Experience in business analysis, strategic requirements elicitation, and framing complex data challenges.
- Solid understanding of the Software Delivery Lifecycle (both Agile and Waterfall).
- Strong grounding in relational, dimensional, and enterprise modelling concepts.
- Awareness of enterprise-scale data warehousing, integration, and big data environments.
- Knowledge of cloud-based data architectures and big data technologies.
- Familiarity with Software Engineering principles and data-centric development approaches.
- Experience with SQL and/or other programming languages.
- Understanding of data analytics platforms, APIs, and database technologies.
- Experience using UML for class and domain modelling.
- Aware of non-functional design elements (security, scalability, availability, performance).
Data Architect in London employer: Test Yantra
Contact Detail:
Test Yantra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data architecture field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects and any relevant work you've done. This gives potential employers a tangible look at what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical and problem-solving skills. Be ready to tackle real-world scenarios and demonstrate your understanding of data architectures and software delivery lifecycles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data architects like you. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency with data modelling techniques and tools like Erwin or Solidatus. We want to see how your experience aligns with the essential skills listed in the job description.
Be Clear and Concise: When detailing your experience, keep it straightforward. Use bullet points where possible to make it easy for us to see your qualifications at a glance. Remember, clarity is key!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect how your background fits the specific requirements of the Data Architect role. We love seeing candidates who take the time to personalise their applications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Test Yantra
✨Know Your Data Modelling Techniques
Make sure you brush up on traditional data modelling techniques like IDEF1x and IE. Familiarise yourself with the tools mentioned in the job description, such as Erwin and Solidatus, so you can confidently discuss your experience and how you've used them in past projects.
✨Showcase Your Analytical Skills
Prepare to demonstrate your strong analytical and problem-solving skills. Think of specific examples where you've tackled complex data challenges, and be ready to explain your thought process using both logical and lateral thinking.
✨Understand the Software Delivery Lifecycle
Get a solid grasp of the Software Delivery Lifecycle, especially Agile and Waterfall methodologies. Be prepared to discuss how you've applied these frameworks in your previous roles and how they relate to data architecture.
✨Familiarity with Cloud and Big Data
Since cloud-based data architectures and big data technologies are crucial for this role, make sure you can talk about your experience in these areas. Highlight any relevant projects or technologies you've worked with, and be ready to discuss how they can benefit the company.
