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For Companies At a Glance
- Tasks: Design and implement innovative data solutions on the Azure platform.
- Company: Join The Thought Exchange, a leading Cloud & Data consultancy driving digital transformation.
- Benefits: Enjoy a remote role with a competitive salary up to £90k and great perks.
- Why this job: Be part of a dynamic team focused on empowering businesses with cutting-edge data solutions.
- Qualifications: Deep knowledge in Big Data architecture, especially on Azure, is essential.
- Other info: This is a mid-senior level, full-time position in the Data Infrastructure and Analytics industry.
The predicted salary is between 54000 - 90000 £ per year.
Join to apply for the Data Solution Architect role at The Thought Exchange, LLC Center for Personal Achievement. A dynamic and innovative Cloud & Data consultancy at the forefront of digital transformation is seeking an experienced Data Architect to join their growing Professional Services team. Their mission is to empower businesses with cutting-edge data solutions that drive efficiency, innovation, and growth. They focus on customer satisfaction by delivering tailored solutions that meet the unique needs of a broad range of enterprise clients. Their team stays ahead of industry trends and leverages the latest technologies to provide exceptional service.
Key Responsibilities
- Design and implement scalable, secure, and high-performance data solutions on the Azure platform.
- Collaborate with clients to understand their data requirements and deliver tailored solutions.
- Lead data architecture projects, ensuring best practices and standards are followed.
- Integrate data from various sources to create comprehensive data solutions.
- Provide technical expertise and guidance to development teams.
Ideal Candidate
- Deep knowledge and significant experience in delivering Big Data architecture and design solutions, specifically on Azure.
- Extensive experience with Azure data services (e.g., Azure SQL, Azure Data Lake, Azure Databricks).
- Strong understanding of data architecture principles and best practices.
- Proficient in data integration and ETL processes.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration skills.
- Understanding or experience with Infrastructure as Code (IaC), CI/CD (ADO), and cloud services (IaaS, SaaS, PaaS) is desirable.
Remote-based role. Salary up to £90k + benefits. Must be eligible to work in the UK.
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industry: Data Infrastructure and Analytics
Data Solution Architect employer: The Thought Exchange, LLC Center for Personal Achievement
Contact Detail:
The Thought Exchange, LLC Center for Personal Achievement Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Architect
✨Tip Number 1
Familiarise yourself with the latest Azure data services and tools. Since the role specifically requires expertise in Azure SQL, Azure Data Lake, and Azure Databricks, having hands-on experience or certifications in these areas can significantly boost your chances.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who work with Azure. Attend industry meetups, webinars, or online forums to connect with others and gain insights into current trends and best practices.
✨Tip Number 3
Prepare to discuss your previous projects that involved data integration and ETL processes. Be ready to explain your problem-solving approach and how you ensured best practices were followed in your past roles.
✨Tip Number 4
Showcase your understanding of Infrastructure as Code (IaC) and CI/CD practices during discussions. Even if it's not a primary requirement, demonstrating knowledge in these areas can set you apart from other candidates.
We think you need these skills to ace Data Solution Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure data services and Big Data architecture. Use specific examples that demonstrate your ability to design and implement scalable data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data architecture and how your skills align with the mission of The Thought Exchange. Mention your problem-solving abilities and your experience in collaborating with clients to deliver tailored solutions.
Showcase Relevant Projects: Include details about past projects where you successfully integrated data from various sources or led data architecture initiatives. Highlight any experience with Infrastructure as Code (IaC) and CI/CD processes, as these are desirable skills for the role.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at The Thought Exchange, LLC Center for Personal Achievement
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure data services during the interview. Be prepared to discuss specific projects where you've implemented solutions using Azure SQL, Azure Data Lake, or Azure Databricks, as this will demonstrate your hands-on knowledge and suitability for the role.
✨Understand the Company's Mission
Familiarise yourself with The Thought Exchange's mission to empower businesses through innovative data solutions. During the interview, express how your skills align with their goals and how you can contribute to enhancing customer satisfaction through tailored data solutions.
✨Prepare for Technical Questions
Expect technical questions related to data architecture principles, ETL processes, and integration techniques. Brush up on best practices in these areas and be ready to provide examples of how you've applied them in past roles, showcasing your problem-solving abilities.
✨Demonstrate Collaboration Skills
Since the role involves collaborating with clients and development teams, be prepared to discuss your experience working in team settings. Share examples of how you've effectively communicated complex data requirements and led projects, emphasising your ability to work independently while also being a team player.
