Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build high-performance data platforms using Databricks and Azure.
- Company: Join Adecco, a leader in tech solutions with a collaborative spirit.
- Benefits: Enjoy competitive pay, hybrid working, and opportunities for professional growth.
- Why this job: Make an impact by leveraging cutting-edge tech to drive data-driven decisions.
- Qualifications: Experience in Databricks and Azure, with strong problem-solving skills.
- Other info: Great chance to grow your career in a dynamic tech environment.
The predicted salary is between 36000 - 60000 £ per year.
As a Solution Architect with an Azure and Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.
Responsibilities
- Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
- Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
- Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
- Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
- Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
Qualifications
- Solid experience as a Data Architect with experience in designing, developing and implementing Databricks solutions.
- Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices.
- Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
- Excellent problem‐solving and analytical skills and strong communication and teamwork skills.
- Passion for data and a thirst for learning and is either already a Databricks champion or working towards it.
- Relevant Architecture certifications from Microsoft and Databricks.
Seniority level: Entry level
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Internet
Databricks Data Architectx2 UK Wide Hybrid Working in London employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Architectx2 UK Wide Hybrid Working in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data architecture. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Databricks and Azure. This will give potential employers a clear picture of what you can bring to the table.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific scenarios where you’ve solved problems using Databricks or Azure. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Databricks Data Architectx2 UK Wide Hybrid Working in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Apache Spark, and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled challenges in data platforms or AI/ML models. We love seeing how you approach problems and come up with innovative 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Adecco
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with Apache Spark and how you've used it in past projects. Having specific examples of how you've designed and implemented data platforms will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data architecture. Think of a couple of scenarios where you identified bottlenecks or optimised data pipelines. This will demonstrate your analytical skills and ability to think on your feet.
✨Familiarise Yourself with Azure Services
Since this role involves working with Microsoft Azure, make sure you're well-versed in Azure Data Lake Storage and Azure Data Factory. Being able to discuss how these services integrate with Databricks will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Emphasise Team Collaboration
This position requires collaboration with various teams, so be prepared to share examples of how you've worked with business analysts, data scientists, or DevOps engineers in the past. Highlighting your teamwork skills will show that you can thrive in a cross-functional environment.
