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- Tasks: Lead the data management lifecycle and define central data architecture.
- Company: Fast-growing global organisation based in the UK.
- Benefits: Hybrid work, excellent benefits, and career advancement opportunities.
- Why this job: Shape the future of data management in a dynamic environment.
- Qualifications: 8+ years experience in SQL, Python, and Microsoft Data Stack.
- Other info: Join a team that values innovation and scalability.
The predicted salary is between 48000 - 72000 £ per year.
A high-growth, globally active organization in the UK is seeking a seasoned Data Architect to take full ownership of the data management lifecycle.
Responsibilities include:
- Defining the central data architecture
- Overseeing implementation
- Ensuring governance and scalability
Ideal candidates will have over 8 years of experience with deep expertise in SQL, Python, and Microsoft Data Stack including Azure and PowerBI.
This role offers a hybrid working arrangement with excellent benefits.
Senior Data Architect — Own Data Lifecycle (Hybrid, Azure) employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect — Own Data Lifecycle (Hybrid, Azure)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Senior Data Architect role. 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! Prepare a portfolio showcasing your past projects, especially those involving SQL, Python, and Azure. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Ace the interview by doing your homework! Research the company’s data architecture and be ready to discuss how you can enhance their data management lifecycle. Tailor your answers to reflect their needs and demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Data Architect — Own Data Lifecycle (Hybrid, Azure)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and the Microsoft Data Stack. We want to see how your skills align with the responsibilities of owning the data management lifecycle.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data architecture. Share specific examples of how you've defined data architecture in previous roles and how you can bring that expertise to our team.
Showcase Your Governance Experience: Since governance is key in this role, include any relevant experience you have in ensuring data quality and compliance. We love to see candidates who can demonstrate their ability to implement effective data governance strategies.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Humand Talent
✨Know Your Data Inside Out
Make sure you’re well-versed in the data management lifecycle. Brush up on your SQL, Python, and Microsoft Data Stack skills, especially Azure and PowerBI. Be ready to discuss how you've implemented data architecture in previous roles.
✨Showcase Your Governance Experience
Prepare examples of how you've ensured data governance and scalability in past projects. Companies want to see that you can not only design but also maintain a robust data architecture that meets compliance standards.
✨Be Ready for Technical Questions
Expect technical questions that test your knowledge of data architecture principles. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.
