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- Tasks: Design and implement data architecture using Azure technologies for impactful projects.
- Company: Join a dynamic team in a fully remote role with exciting challenges.
- Benefits: Flexible work environment, competitive pay, and opportunities for professional growth.
- Why this job: Make a difference by shaping data solutions that drive business insights.
- Qualifications: Experience in data architecture, SQL, and Azure tools required.
- Other info: Contract position with potential for future opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Our client currently seeks a Data Architect to join their dynamic team on an initial 3‑month contract. This role is fully remote.
Responsibilities:
- Strong Azure-aligned data architecture and analysis experience (e.g., data lake storage, SQL engines, pipeline orchestration, cataloguing).
- Proficiency in data modelling and translating it into standards, metadata, and lineage artefacts.
- Proficiency in SPARX, Erwin or other similar modelling tools.
- Advanced data profiling, quality assessment, and rule specification for analytical fitness.
- Ability to design analysis‑ready structures and curated datasets for reporting use cases.
- Skilled in documenting schemas, dictionaries, flows, and decision records for reuse.
- Strong SQL and data transformation skills; familiarity with Azure‑centric tooling and practices.
- Effective collaboration across governance, engineering, and domain SMEs.
Seniority level: Mid‑Senior level
Employment type: Contract
Job function: Consulting, Information Technology, and Analyst
Industries: Staffing and Recruiting
Should you be keen, kindly send a copy of your latest CV to naushad.c@auxotalent.com
Data Architect in London employer: Auxo Talent
Contact Detail:
Auxo Talent 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 your connections in the data architecture field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for a Data Architect.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Azure, SQL, and data modelling tools. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process when designing data structures and how you ensure data quality—this will help you stand out during the interview.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources and job listings that can help you land that Data Architect role. Plus, it’s a great way to stay updated on new opportunities tailored just for you.
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Azure-aligned data architecture experience and any relevant tools you've used, like SPARX or Erwin. We want to see how your skills match the job description, so don’t hold back!
Showcase Your Projects: Include specific examples of projects where you’ve designed analysis-ready structures or worked on data modelling. This gives us a clear picture of your capabilities and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it’s relevant. We appreciate clarity and want to understand your experience quickly!
Apply Through Our Website: We encourage you to apply directly through our website. It makes the process smoother for both of us and ensures your application gets the attention it deserves. Don’t miss out!
How to prepare for a job interview at Auxo Talent
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around data architecture. Be ready to discuss your experience with data lake storage, SQL engines, and pipeline orchestration. Having specific examples of how you've used these tools will really impress the interviewers.
✨Show Off Your Modelling Skills
Familiarise yourself with SPARX, Erwin, or any other modelling tools you've used. Prepare to explain how you've translated data models into standards and metadata. Bring along examples of your work to showcase your proficiency in this area.
✨Demonstrate Data Quality Expertise
Be prepared to talk about your experience with data profiling and quality assessment. Think of instances where you've specified rules for analytical fitness and how that impacted the projects you worked on. This shows you understand the importance of clean data.
✨Collaboration is Key
Since this role involves working with governance, engineering, and domain SMEs, be ready to discuss how you've effectively collaborated in past projects. Share examples of how you’ve documented schemas and decision records to ensure everyone is on the same page.
