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- Tasks: Design and optimise enterprise data platforms using AWS and lead 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 in the cloud.
- Qualifications: Strong SQL and Python skills with hands-on AWS data stack experience.
- Other info: Exciting projects and a collaborative environment await you!
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 in London 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 in London
✨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 questions related to data architecture and cloud services. Practice explaining your past experiences with SQL and Python, as well as how you've tackled data governance challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Enterprise Data Architect - AWS Cloud & Data Governance in London
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 can 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 your passion for data architecture and how you’ve successfully led data engineering strategies in the past.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with the AWS data stack! We’re particularly interested in your familiarity with services like S3 and Glue, so make sure these are front and centre in your application.
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 our team!
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 your expertise.
✨Showcase Your Technical Skills
Since strong SQL and Python skills are a must, prepare to demonstrate your proficiency. You might be asked to solve a problem or explain a complex query. Practising common SQL queries and Python scripts relevant to data engineering can give you an edge.
✨Understand Data Governance
Data governance is crucial for this role, so be prepared to discuss your experience with it. Think about how you've ensured data quality and compliance in previous projects. Being able to articulate your approach to data governance will highlight your suitability for the position.
✨Prepare for Hybrid Work Questions
As this role operates on a hybrid model, expect questions about your experience working both onsite and remotely. Be ready to share how you manage your time and collaborate effectively in a hybrid environment, as this will demonstrate your adaptability.
