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- Tasks: Design and manage data architecture for BI & Data applications.
- Company: Join Clarion, a leader in data-focused initiatives and analytics solutions.
- Benefits: Enjoy hybrid working, flexible locations, and adaptable work arrangements.
- Why this job: Be part of a critical role that drives data innovation and collaboration.
- Qualifications: Expertise in data architecture, database design, and programming skills required.
- Other info: Lead a team of Data Engineers and collaborate with Business Intelligence Analysts.
The predicted salary is between 43200 - 72000 £ per year.
As a Data Architect at Clarion you’ll design, develop, and manage the data architecture for BI & Data applications and collaborate with the wider Data & Analytics team to deliver high-quality data infrastructure and analytics solutions.
Your expertise in database design, data integration, and data management will be critical in driving Clarion’s data-focussed initiatives and ensuring the availability, performance, scalability, and reliability of Clarion’s data platform(s) by working with cross-functional teams to understand data requirements and deliver robust solutions such as data marts and evolving the Clarion Enterprise Data Warehouse.
You’ll build rapport with Business Intelligence Analysts and stakeholders and be responsible for two Data Engineers in your immediate team. You’ll be confident in people managing, providing constructive feedback where appropriate and put forward ideas.
This is a critical role that requires a deep understanding of data architecture principles and excellent critical thinking skills.
You’ll have a deep understanding of data modelling, database design, and data management principles, encompassing both relational and non-relational databases, data warehousing, ETL processes, and cloud-based data storage solutions like AWS and Azure. Expertise in data modelling methodologies (Kimball, DataVault) is essential, as is hands-on experience with RDBMS (preferably Snowflake or SQL Server) and large-scale data processing through ETL pipelines. Familiarity with Git or MS Visual Studio TFS, data orchestration tools like ADF, AirByte, Airflow, or Luigi, and a high competency in SQL are required. The role demands confident programming skills (C#, Python, or JavaScript) with a focus on data manipulation and integration, alongside excellent problem-solving abilities and attention to detail in a fast-paced environment.
If you have the skill set and experience we’re looking for, we would love to hear from you!
With hybrid working, flexible base locations and flexible working arrangements this could be the opportunity you’ve been looking for!
Data Architect employer: Clarion Enterprise Data Warehouse
Contact Detail:
Clarion Enterprise Data Warehouse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarize yourself with the specific data architecture principles and methodologies mentioned in the job description, such as Kimball and DataVault. This will not only help you understand the role better but also allow you to speak confidently about these concepts during your interactions with our team.
✨Tip Number 2
Showcase your experience with cloud-based data storage solutions like AWS and Azure. Be prepared to discuss how you've utilized these platforms in past projects, as this will demonstrate your hands-on expertise and align with our needs at Clarion.
✨Tip Number 3
Highlight your programming skills, especially in C#, Python, or JavaScript, focusing on data manipulation and integration. We value candidates who can demonstrate their ability to solve complex problems through coding, so be ready to share examples of your work.
✨Tip Number 4
Prepare to discuss your experience in managing teams and providing constructive feedback. As a Data Architect, you'll be responsible for leading two Data Engineers, so showcasing your leadership skills and collaborative mindset will be crucial in making a strong impression.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position at Clarion. Familiarize yourself with key concepts like data architecture principles, ETL processes, and cloud-based solutions.
Tailor Your CV: Customize your CV to highlight relevant experience in database design, data integration, and management. Emphasize your expertise in RDBMS, data modelling methodologies, and programming skills that align with the job description.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data architecture and your ability to collaborate with cross-functional teams. Mention specific projects or experiences that demonstrate your problem-solving skills and attention to detail.
Highlight Leadership Experience: Since the role involves managing two Data Engineers, be sure to include any relevant leadership or mentoring experience in your application. Discuss how you've provided constructive feedback and fostered collaboration in previous roles.
How to prepare for a job interview at Clarion Enterprise Data Warehouse
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architecture principles, database design, and data management. Highlight specific projects where you've successfully implemented data solutions, especially using tools like Snowflake or SQL Server.
✨Demonstrate Leadership Skills
Since you'll be managing two Data Engineers, it's important to convey your leadership style. Share examples of how you've provided constructive feedback and fostered collaboration within a team.
✨Understand the Business Context
Clarion values collaboration with Business Intelligence Analysts and stakeholders. Be ready to discuss how you gather data requirements and translate them into robust data solutions that align with business goals.
✨Prepare for Problem-Solving Scenarios
Expect questions that assess your critical thinking and problem-solving abilities. Prepare to walk through your thought process in tackling complex data challenges, particularly in a fast-paced environment.
