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- Tasks: Design and optimise data architecture across multi-cloud platforms.
- Company: A forward-thinking organisation in Northern Ireland.
- Benefits: Hybrid working model and a comprehensive benefits package.
- Why this job: Lead innovative data projects and shape enterprise-wide architecture.
- Qualifications: Degree in Computer Science and experience with ETL/ELT pipelines.
- Other info: Opportunity to work with modern streaming technologies.
The predicted salary is between 43200 - 72000 £ per year.
A forward-thinking organisation in Northern Ireland seeks a Data Architect to own and define enterprise-wide data architecture. The role involves designing data models, optimizing platforms on AWS and GCP, and ensuring data governance frameworks are maintained.
Candidates should possess a degree in Computer Science or related fields and have hands-on experience with ETL/ELT pipelines and modern streaming technologies. This position offers a hybrid working model and a comprehensive benefits package.
Lead Data Architect - Multi-Cloud & Real-Time Pipelines in Belfast employer: Reward
Contact Detail:
Reward Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Architect - Multi-Cloud & Real-Time Pipelines in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, ETL/ELT pipelines, and any projects you've worked on. This is your chance to demonstrate your expertise in AWS and GCP, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance frameworks and modern streaming technologies. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Lead Data Architect - Multi-Cloud & Real-Time Pipelines in Belfast
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data architecture, especially with AWS and GCP. We want to see how you've designed data models and optimised platforms in your previous roles.
Be Specific About Your Experience: When discussing your hands-on experience with ETL/ELT pipelines and streaming technologies, give us concrete examples. We love details that show how you tackled challenges and delivered results.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. We appreciate when candidates take the time to align their skills with what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Reward
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in enterprise-wide data architecture principles. Brush up on your knowledge of data models, especially those relevant to AWS and GCP. Being able to discuss specific examples from your past experience will show that you can hit the ground running.
✨Showcase Your ETL/ELT Expertise
Prepare to talk about your hands-on experience with ETL and ELT pipelines. Have a couple of concrete examples ready where you’ve optimised these processes. This will demonstrate your technical skills and your ability to improve data flow efficiency.
✨Understand Data Governance Frameworks
Familiarise yourself with data governance frameworks and be ready to discuss how you’ve implemented or maintained them in previous roles. This shows that you not only understand the technical side but also the importance of compliance and data integrity.
✨Be Ready for Scenario-Based Questions
Expect scenario-based questions that test your problem-solving skills in real-time data pipeline situations. Think through potential challenges you might face in this role and how you would address them. This will highlight your critical thinking and adaptability.