At a Glance
- Tasks: Design and deliver modern Azure data platforms that transform complex data into valuable insights.
- Company: Join CGI, a leader in secure and scalable Azure solutions.
- Benefits: Competitive salary, excellent pension, private healthcare, and a share scheme.
- Other info: Hybrid role based in Newcastle with opportunities for career growth.
- Why this job: Shape the future of enterprise data while collaborating with talented colleagues.
- Qualifications: Strong Azure data architecture experience and excellent communication skills.
The predicted salary is between 60000 - 75000 £ per year.
At CGI, we help organisations unlock the full value of their data through secure, scalable Azure solutions. As an Azure Data Architect, you'll shape modern data platforms that drive better decisions, improve services, and deliver real business outcomes. You'll work with clients across some of the UK's most important sectors, defining data strategies, designing cloud architectures, and influencing the future of enterprise data. You'll have the opportunity to lead, innovate and collaborate with talented colleagues while developing your career within a supportive and inclusive environment.
We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. This role is a hybrid role based in Newcastle.
Your future duties and responsibilities
- Lead the design and delivery of modern Azure data platforms, helping clients transform complex data into valuable business insight.
- Work closely with stakeholders, engineers and architects to create secure, scalable solutions that support long-term growth and innovation.
- Help shape cloud strategies, promote best practice, mentor colleagues and contribute to technical leadership across CGI's growing data community.
- Design scalable Azure data architectures.
- Develop enterprise data strategies and roadmaps.
- Build secure, high-performing data platforms.
- Drive data governance and best practice.
- Implement CI/CD and modern data engineering approaches.
- Collaborate with clients and technical teams.
- Mentor and support colleagues.
- Contribute to bids, innovation and solution design.
Required qualifications to be successful in this role
- Strong Azure data architecture experience who enjoys solving complex challenges and working collaboratively with clients and delivery teams.
- Experience as a Data Architect within enterprise environments.
- Strong data modelling and database design expertise.
- Hands-on experience with Azure Data Factory, Azure Data Lake, Azure SQL, Cosmos DB and Power BI.
- Knowledge of Azure security, governance and compliance.
- Experience designing scalable cloud data platforms.
- Strong stakeholder engagement and communication skills.
Desirable
- Azure Solutions Architect Expert certification.
- Azure Data Engineer Associate certification.
- Azure AI or Data Scientist certification.
- Degree or equivalent professional experience.
Azure Data Architect / Cloud Data Architect employer: 慨正橡扯
At CGI, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As an Azure Data Architect in Newcastle, you'll not only enjoy a competitive salary and comprehensive benefits, including private healthcare and a generous pension scheme, but also have the opportunity to lead transformative projects that shape the future of data solutions. With a strong emphasis on employee growth and mentorship, CGI empowers you to develop your career while making a meaningful impact across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Architect / Cloud Data Architect
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We think you need these skills to ace Azure Data Architect / Cloud Data Architect
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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For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
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.
