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- Tasks: Design and maintain data architecture using Google Cloud Platform technologies.
- Company: Leading IT services firm focused on innovative cloud solutions.
- Benefits: Attractive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of data analytics in the cloud.
- Qualifications: Experience with Big Data, Python, and data visualisation tools required.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities:
- Maintain architecture principles, guidelines and standards
- Project & Program Management
- Data Warehousing
- Data Analytics & Data Science for solutioning
Relevant Technology Domains:
- Strong Google Cloud Platform Data Components – BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, etc.
Professional Summary:
- Strong Experience in Big Data
- Good Python skills, experience from data visualisation tools such as Google Data Studio or Power BI
- Strong Migration experience of production Hadoop Cluster to Google Cloud
Certifications:
- Google Professional Cloud Architect
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
GCP Data Architect employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that GCP Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving BigQuery or data migration. We want to see your hands-on experience and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. We recommend going over key concepts in data warehousing and analytics, as well as practicing common interview questions related to Google Cloud Platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace GCP Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform and relevant technologies. We want to see how your skills in BigQuery, Python, and data visualisation tools like Google Data Studio shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the GCP Data Architect role. Share specific examples of your past projects and how they relate to our needs in data warehousing and analytics.
Show Off Your Certifications: If you've got that Google Professional Cloud Architect certification, flaunt it! We love seeing candidates who are committed to their professional development and can bring that expertise to our team.
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 during the process!
How to prepare for a job interview at HCLTech
✨Know Your GCP Inside Out
Make sure you’re well-versed in Google Cloud Platform components like BigQuery, BigTable, and Data Flow. Brush up on how these tools work together to solve data challenges, as you’ll likely be asked to discuss specific use cases during the interview.
✨Showcase Your Migration Experience
Be prepared to talk about your experience migrating production Hadoop clusters to Google Cloud. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Demonstrate Your Python Skills
Since strong Python skills are a must, think of examples where you’ve used Python for data analytics or visualisation. If you can, bring along a portfolio or code snippets that showcase your abilities, especially if they relate to data visualisation tools like Google Data Studio.
✨Understand Project Management Principles
Familiarise yourself with project and program management principles, as these will be crucial in your role. Be ready to discuss how you’ve managed projects in the past, including any methodologies you’ve used, such as Agile or Scrum.