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- Tasks: Design and optimise enterprise data platforms while leading data engineering strategies.
- Company: Global tech company based in Greater London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data governance on AWS.
- Qualifications: Strong SQL and Python skills with hands-on AWS data stack experience.
- Other info: Collaborative environment with a focus on cutting-edge technology.
The predicted salary is between 48000 - 72000 £ per year.
A global technology company in Greater London is seeking an experienced Data Architect to design and optimize enterprise data platforms. The role involves creating scalable data architectures, leading data engineering strategies, and ensuring data governance on cloud platforms such as AWS.
The ideal candidate will have strong SQL and Python skills and hands-on experience with the AWS data stack, including services like S3 and Glue. This position operates on a hybrid work model with three days onsite.
Enterprise Data Architect - AWS Cloud & Data Governance employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect - AWS Cloud & Data Governance
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. 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 projects, especially those involving AWS and data governance. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process when designing scalable data solutions, as this is key for roles like the one we’re hiring for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Enterprise Data Architect - AWS Cloud & Data Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and data governance. We want to see how your skills in SQL and Python shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've designed scalable data architectures and led data engineering strategies in the past.
Showcase Your Technical Skills: Since we’re looking for someone with hands-on experience with the AWS data stack, make sure to mention any relevant tools or services you’ve worked with, like S3 and Glue. We love seeing practical applications of your skills!
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at HCLTech
✨Know Your Data Architecture
Make sure you brush up on your knowledge of enterprise data platforms. Be ready to discuss how you've designed and optimised data architectures in the past, especially using AWS services like S3 and Glue. Having specific examples at hand will show that you’re not just familiar with the concepts but have practical experience.
✨Showcase Your Technical Skills
Since strong SQL and Python skills are essential for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem or write a query on the spot, so practice common SQL queries and Python scripts relevant to data engineering. This will help you stand out as a candidate who can hit the ground running.
✨Understand Data Governance
Data governance is a key part of the role, so be prepared to discuss your approach to ensuring data quality and compliance. Think about previous experiences where you implemented data governance strategies and be ready to share those insights. This shows that you understand the importance of data integrity in a cloud environment.
✨Prepare for Hybrid Work Questions
With the role operating on a hybrid model, expect questions about your experience working both onsite and remotely. Be ready to discuss how you manage your time and collaborate with teams in different settings. Highlighting your adaptability will reassure them that you can thrive in their work environment.
