At a Glance
- Tasks: Design and evolve a modern Azure data platform with hands-on technical involvement.
- Company: Leading organisation undergoing a major Azure cloud transformation.
- Benefits: Competitive salary, bonus, excellent benefits, and hybrid working.
- Other info: Collaborative culture with genuine influence over technical direction.
- Why this job: Shape the future of data architecture while staying close to technology.
- Qualifications: Experience as a Data Architect or strong background in data engineering.
The predicted salary is between 60000 - 60000 £ per year.
Salary
£100,000 + Bonus + Excellent Benefits Are you a Data Architect who still enjoys getting into the technical detail?
We're working with a leading organisation embarking on a major Azure cloud transformation and are looking for a hands-on Data Architect to help shape the next generation of its data platform.
This isn't a traditional architecture role.
We're looking for someone who has grown from Data Engineering or Cloud Engineering into Architecture and still enjoys solving technical challenges, designing modern data platforms and working closely with engineering teams.
If you're looking for a role where you'll influence architecture without losing touch with the technology, we'd love to hear from you.
You'll play a key role in designing and evolving a modern Azure data platform, working alongside engineering teams to deliver scalable, cloud-native solutions.
You’ll be responsible for
Designing end-to-end Azure data platform solutions.
Architecting modern ETL and data integration pipelines.
Designing scalable Lakehouse and Data Lake solutions.
Working closely with engineers to guide implementation and technical decision-making.
Defining cloud-native architecture patterns and best practices.
Collaborating with Product, Engineering and Business teams to deliver high-quality data solutions.
Supporting the modernisation of legacy platforms into Azure.
What We’re Looking For
Experience as a Data Architect or Solution Architect with a strong data engineering background.
Previous experience as a Data Engineer, Cloud Engineer or Data Platform Engineer.
Experience designing ETL pipelines and large-scale data integrations.
Strong understanding of Lakehouse and Data Lake architecture.
Comfortable working closely with engineering teams and remaining technically involved.
Excellent communication and stakeholder management skills.
Microsoft Fabric Databricks Py Spark, Python or SQL Event-driven architectures Why Join?
Major Azure cloud transformation programme.
Opportunity to shape a modern enterprise data platform.
Work with the latest Azure data technologies, including Microsoft Fabric.
Highly collaborative engineering culture.
Genuine influence over technical direction and architecture.
Hybrid working (2 days per week in London).
Competitive salary, bonus and excellent benefits.
If you're a technically minded Data Architect who enjoys designing solutions, staying close to engineering and building modern cloud data platforms, I'd love to tell you more. #J-18808-Ljbffr
Data Architect in London employer: Pulse Group
Pulse Group is an exceptional employer located in the vibrant Greater London area, offering a collaborative work culture that fosters creativity and innovation. With a focus on employee growth, you will have the opportunity to take ownership of your projects while benefiting from competitive salaries and comprehensive benefits. Join us to shape user experiences for millions and advance your career in a supportive environment.
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We think this is how you could land Data Architect in London
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We think you need these skills to ace Data Architect 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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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.
