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For Companies At a Glance
- Tasks: Design and manage data models while optimising data retrieval and processing.
- Company: Join a forward-thinking company in Belfast focused on innovative data solutions.
- Benefits: Enjoy flexible working options and the chance to work with cutting-edge technologies.
- Why this job: Be part of a dynamic team shaping the future of data architecture and processing.
- Qualifications: Experience with big data technologies and AWS is preferred; passion for data is essential.
- Other info: This role offers both contract and full-time employment options.
The predicted salary is between 48000 - 72000 £ per year.
Location: Belfast
Position Type: Contract / FTE
Key Responsibilities:
- Work with data lakes, implementing strategies for faster data retrieval and optimized processing.
- Design and manage dynamic data models, ensuring adaptability based on evolving datasets.
- Implement caching and filtering techniques to improve query performance.
- Utilize big data technologies such as Apache Spark for large-scale data processing.
- Apply AWS expertise, including Infrastructure-as-Code (IaC) for scalable deployment.
- Work with SQL transpilers and predicate pushing to optimize query execution.
- GraphQL - good to have.
Contact Detail:
Bounteous Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the latest big data technologies, especially Apache Spark. Being able to discuss your hands-on experience with these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Showcase your AWS expertise by preparing examples of how you've used Infrastructure-as-Code (IaC) in previous projects. This will demonstrate your ability to deploy scalable solutions effectively.
✨Tip Number 3
Brush up on your SQL skills, particularly around query optimisation techniques like predicate pushing. Be ready to discuss specific scenarios where you've improved query performance in past roles.
✨Tip Number 4
If you have experience with GraphQL, make sure to highlight it. Even though it's listed as 'good to have', demonstrating knowledge in this area could give you an edge over other applicants.
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 of a Data Architect. Familiarise yourself with key concepts like data lakes, dynamic data models, and big data technologies such as Apache Spark.
Tailor Your CV: Highlight your experience with data lakes, SQL transpilers, and AWS in your CV. Use specific examples that demonstrate your expertise in these areas to show how you meet the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Mention your familiarity with caching techniques and Infrastructure-as-Code (IaC) to showcase your fit for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly to present a professional image.
How to prepare for a job interview at Bounteous
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data lakes and big data technologies like Apache Spark. Highlight specific projects where you've implemented strategies for faster data retrieval and optimised processing.
✨Demonstrate Adaptability
Since the role involves designing dynamic data models, be ready to explain how you've adapted your data models in response to evolving datasets in previous roles. Use examples to illustrate your flexibility.
✨Discuss Performance Optimisation Techniques
Talk about your experience with caching, filtering techniques, and SQL transpilers. Be specific about how these methods improved query performance in your past projects.
✨Highlight Your AWS Knowledge
As AWS expertise is crucial for this role, prepare to discuss your experience with Infrastructure-as-Code (IaC) and how you've used it for scalable deployment. Mention any relevant certifications or projects.
