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- Tasks: Collaborate with architects to align solutions and drive proposals in Azure.
- Company: Join a leading tech company specializing in cloud solutions and innovation.
- Benefits: Enjoy flexible work options, competitive pay, and growth opportunities.
- Why this job: Be part of cutting-edge projects that shape the future of data solutions.
- Qualifications: Experience with Azure PaaS/IaaS and strong analytical skills required.
- Other info: Ideal for tech enthusiasts eager to make an impact in cloud technology.
The predicted salary is between 43200 - 72000 £ per year.
- Partners with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal writing, solution direction, pricing and costing
- Working on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure data Factory, Azure data lake. Understand which Azure data focused…
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Microsoft Azure Data Solution Architect Role employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Azure Data Solution Architect Role
✨Tip Number 1
Familiarize yourself with the Microsoft Azure ecosystem, especially the PaaS and IaaS services mentioned in the job description. Having hands-on experience or certifications in Azure App Services, SQL Database, and Databricks can set you apart from other candidates.
✨Tip Number 2
Network with current Azure Data Solution Architects or professionals in similar roles. Engaging in discussions about their experiences and challenges can provide valuable insights that you can leverage during interviews.
✨Tip Number 3
Stay updated on the latest trends and updates in Azure data solutions. Being knowledgeable about new features or best practices can demonstrate your commitment to continuous learning and your passion for the field.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've successfully implemented Azure solutions. Highlighting specific projects or challenges you've overcome will showcase your problem-solving skills and practical experience.
We think you need these skills to ace Microsoft Azure Data Solution Architect Role
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Microsoft Azure Data Solution Architect role. Familiarize yourself with the specific technologies mentioned, such as Azure SQL Database, Databricks, and Synapse Analytics.
Tailor Your CV: Customize your CV to highlight relevant experience with Microsoft Azure services. Include specific projects or achievements that demonstrate your expertise in PaaS and IaaS solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cloud solutions and your ability to partner with other architects. Mention how your skills align with the company's architectural blueprint and your approach to proposal writing.
Highlight Collaboration Skills: Emphasize your experience working in teams and collaborating with other solution architects. Provide examples of how you've successfully driven solution direction and pricing in past roles.
How to prepare for a job interview at 83zero Limited
✨Understand Azure Services
Make sure you have a solid understanding of Microsoft Azure PaaS and IaaS services, especially App Services, Azure SQL Database, and Azure Data Factory. Be prepared to discuss how you've used these services in past projects.
✨Showcase Your Architectural Skills
Be ready to explain your approach to assessing solution alignment with architectural blueprints. Share examples of how you've collaborated with other architects to drive proposal writing and solution direction.
✨Discuss Pricing and Costing Strategies
Prepare to talk about your experience with pricing and costing for Azure solutions. Highlight any strategies you've implemented to optimize costs while maintaining performance.
✨Demonstrate Data Management Knowledge
Familiarize yourself with Azure data services like Synapse Analytics, Databricks, and Azure Data Lake. Be ready to discuss how you've leveraged these tools to manage and analyze data effectively.
