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For Companies At a Glance
- Tasks: Design and implement innovative data architecture solutions on Microsoft Azure.
- Company: Join a leading consultancy working with top-tier higher education partners.
- Benefits: Competitive daily rate, flexible work environment, and opportunities for professional growth.
- Why this job: Shape the future of data architecture in a dynamic, enterprise-scale setting.
- Qualifications: Experience as a Data Architect with strong skills in Azure and data governance.
- Other info: Collaborate with experts and make a real impact in the education sector.
We are seeking a skilled Data Architect to join a large-scale data warehousing project with a leading Higher Education partner, working via a specialist consultancy. This role offers an exciting opportunity to shape and deliver cutting-edge data architecture within a complex, enterprise-scale environment.
Key Responsibilities
- Design and implement robust data architecture solutions on Microsoft Azure.
- Develop and optimise MSFT Data Lake and MSFT Fabric infrastructure to support enterprise-level data processing and analytics.
- Collaborate with data engineers, analysts, and stakeholders to define best practices and ensure seamless data integration.
- Support the delivery of a scalable, secure, and efficient data warehouse that underpins strategic reporting and insights.
- Provide architectural guidance throughout the project lifecycle, from design to deployment.
Skills & Experience
- Proven experience as a Data Architect on large-scale data projects.
- Strong expertise in Microsoft Azure, Data Lake, and Fabric technologies.
- Hands-on experience with data modelling, governance, and architecture frameworks.
- Excellent stakeholder communication and collaboration skills.
- Prior experience within higher education or large, data-rich organisations is advantageous.
Data Architect employer: TechNET IT
Contact Detail:
TechNET IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture field, especially those who have worked on similar projects. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous data architecture projects, especially those involving Microsoft Azure and Data Lake. 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 your technical knowledge and soft skills. Be ready to discuss your experience with data modelling and governance, and how you've collaborated with teams in the past.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Microsoft Azure, Data Lake, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your background makes you a perfect fit for this role. We love seeing enthusiasm and a personal touch.
Showcase Your Projects: If you've worked on large-scale data projects, don't hold back! Include specific examples of your contributions and the impact they had. This helps us understand your hands-on experience and problem-solving skills.
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 – just a few clicks and you’re done!
How to prepare for a job interview at TechNET IT
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Azure, Data Lake, and Fabric technologies. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data engineers, analysts, and stakeholders, prepare examples that highlight your teamwork and communication skills. Think of specific instances where you successfully collaborated to achieve a common goal.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data architecture. Practice articulating your thought process and decision-making steps clearly, as this will demonstrate your analytical skills and architectural guidance capabilities.
✨Research the Company and Its Projects
Familiarise yourself with the higher education sector and the specific challenges it faces regarding data management. This knowledge will help you tailor your responses and show that you're genuinely interested in contributing to their data warehousing project.
