At a Glance
- Tasks: Architect and build scalable data platforms using Azure technologies.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with mentorship opportunities for junior engineers.
- Why this job: Shape the future of data architecture and lead exciting projects.
- Qualifications: Strong Azure experience and expertise in PySpark and Python required.
The predicted salary is between 60000 - 80000 £ per year.
Key Responsibilities:
- Architect and build scalable data platforms using Azure (ADF, Databricks, Data Lake, Synapse)
- Design and optimize ETL/ELT pipelines for large-scale data processing
- Develop distributed data solutions using PySpark and Python
- Ensure performance, cost optimization, data quality, and security
- Define data architecture standards, governance, and best practices
- Implement CI/CD and DevOps for data workflows
- Lead troubleshooting, performance tuning, and cloud migration initiatives
- Collaborate with stakeholders and mentor junior engineers
Required Skills:
- Strong experience in Azure data services (ADF, Databricks, Synapse, Data Lake, Azure SQL)
- Expertise in PySpark, Python, and advanced SQL
- Solid understanding of ETL/ELT, data warehousing, and lakehouse architecture
- Experience with DevOps, CI/CD, and Git
- Knowledge of data security, governance, and performance optimization
Azure Data Platform Architect: PySpark & ETL Lead employer: 9NEXUS
As an Azure Data Platform Architect at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages mentorship and growth. Located in a vibrant tech hub, our team is dedicated to pushing the boundaries of data solutions while ensuring a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Platform Architect: PySpark & ETL Lead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Azure Data Platform Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure services, PySpark, and ETL processes. We want to see your work in action, so don’t be shy about sharing your successes!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data architecture standards and governance. We recommend practising common interview questions related to Azure and data solutions to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Don’t miss out on the chance to join us and make an impact in the world of data!
We think you need these skills to ace Azure Data Platform Architect: PySpark & ETL Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure data services and PySpark. We want to see how your skills align with the key responsibilities listed in the job description.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data architecture and how you can contribute to our team. Be specific about your past experiences with ETL/ELT pipelines and cloud migration.
Showcase Your Projects:If you've worked on any relevant projects, don’t hesitate to include them! We love seeing real-world applications of your skills, especially in Azure and data solutions.
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 the role!
How to prepare for a job interview at 9NEXUS
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure data services like ADF, Databricks, and Synapse. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your PySpark Skills
Prepare to dive deep into your experience with PySpark and Python. Have specific examples ready that showcase your ability to design and optimise ETL/ELT pipelines. Highlight any large-scale data processing projects you've led or contributed to.
✨Demonstrate Your DevOps Knowledge
Since CI/CD and DevOps are key for this role, be prepared to talk about your experience implementing these practices in data workflows. Share any tools you've used, like Git, and how they helped streamline processes.
✨Emphasise Collaboration and Mentorship
This role involves working with stakeholders and mentoring junior engineers, so be ready to discuss your approach to collaboration. Share examples of how you've successfully led teams or guided less experienced colleagues in the past.
