At a Glance
- Tasks: Lead the design and delivery of innovative data solutions for diverse clients.
- Company: Join a global Data & AI Consultancy based in London.
- Benefits: Enjoy a competitive salary up to £120,000 and a discretionary bonus.
- Why this job: Make a real impact while staying ahead of emerging technologies.
- Qualifications: Strong skills in SQL, Python, and experience with major cloud platforms required.
- Other info: Permanent role for UK residents only; no sponsorship available.
The predicted salary is between 72000 - 84000 £ per year.
Job Description
I’m looking for a hands-on, highly skilled Data Solutions Architect to join a global Data & AI Consultancy in London. You will split your time between the London office, your home and client site, depending on requirements.
This exciting role is perfect for an experienced Data Engineer who’s progressed to an architectural level and is ready to lead the design and delivery of innovative data solutions for a diverse range of clients.
In this role, you’ll be responsible for guiding technical teams in the development of end-to-end data solutions that address complex business challenges, using both on-premises and cloud-based technologies (Azure, AWS, or GCP). You’ll design scalable data architectures, including data lakes, lakehouses, and warehouses, leveraging tools such as Databricks, Snowflake, and Azure Synapse.
The ideal candidate will have a deep technical background in data engineering and a passion for leading the development of best-in-class data solutions. You’ll enjoy providing strategic advice to clients, ensuring solutions are tailored to their needs and aligned with future growth.
This is a fantastic opportunity to apply your expertise, stay ahead of emerging technologies, and make a real impact across multiple organisations!
Requirements
- Excellent scripting skills in SQL and Python
- Enterprise data modelling experience using tools such as ERwin or Power Designer
- Experience with data ingestion (both batch and streaming), CI/CD tooling (e.g. Azure DevOps, Terraform etc.) and interrogation with databases such as SQL Server, Oracle, Redshift etc.
- Experience developing solutions on any major cloud platform: Azure, AWS or GCP
- Experience with reporting tools such as Power BI, Tableau, Qlik etc.
- Excellent communication skills with a passion for problem-solving with technology
- Experience in Financial Services would be beneficial for some major clients, but not essential
Benefits
- Salary up to £120,000 depending on experience
- Discretionary bonus up to 12.5%
Please Note: This is a permanent role for UK only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
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Azure Data Architect employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Architect
✨Tip Number 1
Make sure to showcase your hands-on experience with Azure and other cloud platforms during networking events or meetups. Engaging with professionals in the field can help you learn about potential job openings and get insider tips on the application process.
✨Tip Number 2
Join online communities or forums related to data architecture and cloud technologies. Participating in discussions can help you stay updated on industry trends and may lead to job referrals from fellow members who are aware of openings at their companies.
✨Tip Number 3
Consider reaching out to current employees at StudySmarter or similar companies on LinkedIn. A friendly message expressing your interest in the Azure Data Architect role can sometimes lead to valuable insights or even a referral.
✨Tip Number 4
Stay informed about the latest tools and technologies in data engineering and architecture. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and commitment to the field, making you a more attractive candidate.
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 in data engineering and architecture. Focus on your skills with Azure, SQL, Python, and any relevant cloud platforms. Use specific examples of projects where you've designed scalable data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data solutions and your ability to lead technical teams. Mention your experience with tools like Databricks and Snowflake, and how you can provide strategic advice tailored to client needs.
Showcase Relevant Projects: Include a section in your application that showcases specific projects you've worked on that relate to the job description. Highlight your role in developing end-to-end data solutions and any experience with financial services if applicable.
Highlight Communication Skills: Since excellent communication skills are emphasized, make sure to mention instances where you've successfully communicated complex technical concepts to non-technical stakeholders or clients. This will demonstrate your ability to bridge the gap between technology and business.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with data engineering and architecture. Highlight specific projects where you've designed scalable data solutions using Azure, AWS, or GCP, and be ready to dive into the technical details.
✨Demonstrate Problem-Solving Skills
Prepare examples of complex business challenges you've addressed with innovative data solutions. Emphasize your ability to lead teams in developing these solutions and how you tailored them to meet client needs.
✨Communicate Effectively
Since excellent communication skills are crucial for this role, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your strategic advice capabilities.
✨Familiarize Yourself with Emerging Technologies
Stay updated on the latest trends in data architecture and cloud technologies. Discuss how you plan to leverage emerging tools and methodologies to enhance data solutions, demonstrating your passion for continuous learning and innovation.