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- Tasks: Join a dynamic team to shape data architecture solutions on Azure.
- Company: Work within the exciting hospitality and retail domain.
- Benefits: Enjoy flexible working with 2-3 days onsite and potential contract extensions.
- Why this job: Be part of large-scale data transformations using cutting-edge cloud technologies.
- Qualifications: 5+ years in Azure data platforms; strong skills in Data Factory, Databricks, and more.
- Other info: Must be eligible for SC Clearance and thrive in an agile environment.
The predicted salary is between 54000 - 84000 £ per year.
6 Months (options to extend) - Inside IR35 Luton/Bedfordshire 2-3 days onsite per week Must be eligible for SC Clearance
We are looking for an experienced Azure Data Architect to join a dynamic programme within the hospitality and retail domain. This is an exciting opportunity to work on large-scale data transformation initiatives, leveraging cutting-edge cloud technologies and modern data platform architectures. This role will play a key part in shaping and delivering data architecture solutions on Azure, with a focus on implementing lake house design using tools like Databricks. You’ll be working closely with enterprise architecture teams, contributing to governance and driving decisions that will influence business-critical data strategies.
Key Responsibilities:- Collaborate with stakeholders to gather and analyse requirements
- Work with enterprise architects to define and document high-level design
- Evaluate and recommend tools based on functional and non-functional requirements
- Prepare architecture decision documents and present for governance approvals
- Design and implement data lakehouse solutions
- Model data for end-user reporting and analytics
- Ensure successful deployment of Azure data services
- Provide architectural oversight and guidance to technical teams
- Work within an agile delivery model, adapting to changes as needed
- Support knowledge sharing and upskilling within the team
- 5+ years of hands-on experience in Azure data platform implementations
- Strong understanding of Azure services: Data Factory, Databricks, Data Lake, Delta Lake, Synapse Analytics, Power BI, Key Vault, Automation Account, PowerShell, SQL DB, and Big Data tools
- Demonstrated experience preparing and presenting high-level and detailed architecture documents
- Deep understanding of cloud-native data platform design patterns
- Ability to challenge and influence architectural decisions when necessary
Azure Data Architect employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Architect
✨Tip Number 1
Network with professionals in the Azure data space. Attend meetups, webinars, or conferences related to Azure and data architecture. Engaging with others in the field can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your hands-on experience with Azure services by contributing to open-source projects or creating your own projects. This not only demonstrates your skills but also gives you practical examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with the specific tools mentioned in the job description, such as Databricks and Data Lake. Consider taking online courses or certifications that focus on these technologies to enhance your expertise.
✨Tip Number 4
Prepare for interviews by practising how to present architectural decision documents. Be ready to discuss your thought process and how you would approach governance approvals, as this is a key responsibility of the role.
We think you need these skills to ace Azure Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure data platforms and relevant tools mentioned in the job description. Use specific examples to demonstrate your hands-on experience and achievements in similar roles.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your understanding of the hospitality and retail domain. Mention how your skills align with the responsibilities outlined in the job description, particularly around lake house design and collaboration with enterprise architects.
Highlight Relevant Projects: In your application, include details about specific projects where you implemented Azure data solutions. Focus on your role, the challenges faced, and the outcomes achieved, especially in relation to data transformation initiatives.
Showcase Soft Skills: Don't forget to mention your soft skills, such as collaboration and adaptability, which are crucial for working within an agile delivery model. Provide examples of how you've successfully worked with stakeholders and contributed to team knowledge sharing.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Showcase Your Azure Expertise
Make sure to highlight your hands-on experience with Azure data services during the interview. Be prepared to discuss specific projects where you've implemented tools like Data Factory, Databricks, and Synapse Analytics, as this will demonstrate your capability to handle the responsibilities of the role.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of cloud-native data platform design patterns. Brush up on key concepts and be ready to explain how you would approach designing a data lakehouse solution, as well as any challenges you might face.
✨Demonstrate Collaboration Skills
Since the role involves working closely with enterprise architecture teams and stakeholders, be prepared to discuss your experience in collaborative environments. Share examples of how you've gathered requirements and influenced architectural decisions in past projects.
✨Present Your Architectural Vision
You may be asked to present high-level design documents or architecture decision documents. Practice articulating your architectural vision clearly and confidently, ensuring you can explain your rationale behind design choices and how they align with business goals.
