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For Companies At a Glance
- Tasks: Design scalable and secure data solutions while collaborating with technical and business teams.
- Company: Join a forward-thinking organisation focused on data strategy and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and make a real impact in a dynamic environment.
- Qualifications: Experience with cloud-native data architectures and strong communication skills.
- Other info: Exciting career development opportunities in a collaborative and innovative setting.
The predicted salary is between 36000 - 60000 £ per year.
An organisation is seeking an experienced Data Solution Architect to help shape its data strategy and lead the design of scalable, secure and cost-effective data solutions. The role sits within a central data and analytics function and focuses on maturing enterprise data architecture, promoting modern data practices, and supporting a Data Mesh-aligned operating model.
Key Responsibilities
- Engage across technical and business teams, tailoring communication for different stakeholders.
- Lead end-to-end data solution design, ensuring alignment with enterprise architecture, governance and cost considerations.
- Provide expertise in cloud data platforms, data governance, security and modern data architecture.
- Work with domain experts to understand business data and develop usable, reusable data products.
- Support full delivery lifecycle including design, modelling, security reviews, testing and transition to BAU.
- Contribute to the design and build of data solutions on cloud platforms, particularly BigQuery and native transformation tooling.
- Collaborate with vendors on assessments, RFPs and solution implementation.
Essential Skills
- Strong experience with cloud-native data architectures, ideally on GCP.
- Deep knowledge of BigQuery, modern data processing patterns, warehouses and Lakehouse design.
- Experience with data governance, lineage, metadata and data quality tooling.
- Practical delivery of Data Products aligned to Data Mesh principles.
- Strong architectural modelling and documentation skills.
- Experience designing for performance, scalability, resilience and cost optimisation.
- Ability to influence architectural direction and work with diverse stakeholders.
- Understanding of architectural governance processes.
Desirable
- Familiarity with EA frameworks such as TOGAF or Zachman.
- Experience in financial services or insurance.
- Knowledge of SDLC, DevOps, and data engineering delivery models.
- Exposure to multi-cloud environments.
Data Solution Architect in London employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Solution Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous data solutions and projects. This will give potential employers a clear idea of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud-native architectures and data governance. Be ready to discuss how you've tackled challenges in past roles and how you can contribute to their data strategy.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes the application process smoother for everyone involved.
We think you need these skills to ace Data Solution Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Solution Architect role. Highlight your experience with cloud-native data architectures and any relevant projects you've worked on that align with our needs.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've tackled challenges in data governance, architecture, or cloud platforms like GCP and BigQuery.
Be Clear and Concise: When writing your application, keep it straightforward. We love clarity! Make sure your points are easy to understand and directly relate to the responsibilities mentioned in the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Nigel Frank
✨Know Your Data Architecture
Make sure you brush up on your knowledge of cloud-native data architectures, especially GCP and BigQuery. Be ready to discuss how you've designed scalable and secure data solutions in the past, as this will show your expertise aligns with what they're looking for.
✨Tailor Your Communication
Since the role involves engaging with both technical and business teams, practice how you'll communicate complex data concepts in a way that's easy for non-technical stakeholders to understand. This will demonstrate your ability to bridge the gap between different teams.
✨Showcase Your Delivery Experience
Prepare examples of your experience with the full delivery lifecycle of data products. Highlight your involvement in design, modelling, security reviews, and testing. This will help illustrate your hands-on experience and understanding of the processes involved.
✨Familiarise Yourself with Governance
Brush up on data governance principles and tools, as well as architectural governance processes. Being able to discuss how you've ensured data quality and compliance in previous roles will be a big plus and show that you can contribute to their data strategy effectively.