At a Glance
- Tasks: Build a data lake to streamline business data and enhance integration.
- Company: Dynamic tech firm focused on innovative data solutions.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for skill development.
- Other info: Exciting chance to work with AI tools and cloud platforms.
- Why this job: Join a cutting-edge team and shape the future of data architecture.
- Qualifications: 2-5 years in data engineering with strong SQL and Python skills.
A hands-on engineer to build out the data lake that will become the single source of truth for the business — so that iPaaS pulls from one governed, canonically-modelled platform rather than integrating directly with five separate systems. Working to the architecture and standards set by the Data Lead, this role delivers the pipelines, models and integrations that make the lake real. Day to day on Microsoft (Azure / Fabric) today, with a likely move to Google Cloud, so portable, vendor-neutral build habits matter.
What You'll Do
- Build the lake: Develop ingestion pipelines and the landing → curated → serving layers, following the platform design and patterns set by the Data Lead.
- Implement the canonical model: Map and transform data from the five source systems into the shared canonical model, so downstream consumers work from one consistent vocabulary.
- Re-point iPaaS: Migrate integrations to source from the lake, building reusable ingestion/publishing flows and helping retire legacy point-to-point connections.
- Data quality & reliability: Implement validation, monitoring and alerting; keep pipelines tested, documented and dependable.
- Use AI in the build: Apply AI-assisted tooling — schema mapping, data-quality checks, code and pipeline generation — to work faster, and help prepare clean, well-structured data for AI/ML and analytics consumption.
- Build portably: Use open table formats (Delta / Iceberg), SQL, Python and infrastructure-as-code so the Azure→GCP move is straightforward.
What You'll Bring
- 2–5 years of hands-on data engineering, ideally including work on a data lake or lakehouse.
- Solid SQL and Python, with practical ELT/ETL experience (event streaming, CDC or API-led integration a plus).
- Comfortable building data transformations to a defined model; exposure to canonical / dimensional modelling.
- Hands-on with a cloud data platform — Azure / Fabric and/or GCP (BigQuery, Dataflow); willing to work across both.
- Experience with, or genuine enthusiasm for, AI-assisted engineering tooling.
- Works well to someone else's architecture and standards, asks good questions, and documents as they go.
IT Data Architect in London employer: Norton Blake
Join a forward-thinking company that values innovation and collaboration, where as an IT Data Architect, you'll play a pivotal role in shaping the future of data management. With a hybrid working model based in London, we offer competitive daily rates and a culture that fosters continuous learning and professional growth, ensuring you have the tools and support to excel in your career. Our commitment to leveraging cutting-edge technology, including AI-assisted engineering, makes this an exciting opportunity for those looking to make a meaningful impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land IT Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving data lakes or cloud platforms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data transformations and how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you a better shot at landing that dream role.
We think you need these skills to ace IT Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the IT Data Architect role. Highlight your hands-on data engineering experience, especially with data lakes and cloud platforms like Azure and GCP.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data architecture and how your background aligns with our needs. Mention specific projects where you've built ingestion pipelines or worked with AI-assisted tooling.
Showcase Your Technical Skills:Don’t forget to include your proficiency in SQL and Python, as well as any experience with ELT/ETL processes. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Norton Blake
✨Know Your Data Lakes
Make sure you brush up on your knowledge of data lakes and lakehouses. Be ready to discuss your hands-on experience with building ingestion pipelines and how you've implemented canonical models in the past. This will show that you understand the role's core responsibilities.
✨Showcase Your Technical Skills
Prepare to demonstrate your SQL and Python skills during the interview. You might be asked to solve a problem or explain how you've used these languages in previous projects. Having specific examples ready will help you stand out.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with Azure and potentially Google Cloud, make sure you're comfortable discussing both platforms. Highlight any relevant experience you have and be prepared to talk about how you would approach migrating integrations to the data lake.
✨Emphasise Collaboration and Documentation
This role requires working closely with the Data Lead and adhering to their architecture standards. Be ready to discuss how you’ve collaborated with others in the past and the importance of documentation in your workflow. This shows you’re a team player who values clear communication.
