At a Glance
- Tasks: Lead the design of cutting-edge enterprise data platforms using Azure and Databricks.
- Company: Join Sonata Software, a $1 Billion leader in digital business modernization.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving transformation in the utilities domain.
- Why this job: Shape the future of intelligent ecosystems with innovative data architecture.
- Qualifications: 10+ years of experience in Azure, Databricks, and streaming technologies required.
The predicted salary is between 80000 - 100000 £ per year.
About Sonata Software: Sonata Software, with $1 Billion Revenue, is the leading Modernization company. Our unique Modernization approach helps create Efficient and Agile digital businesses to drive intelligent ecosystems of the future. Our bouquet of Modernization Engineering Services cuts across Data, Cloud, Dynamics, Automation, Cyber Security, and around newer technologies like Generative AI, Microsoft Fabric, and other modernization platforms.
Location: UK | Mode: Hybrid
Permanent Role Overview: Lead architecture and design of enterprise data platform across Fabric, Databricks, and Azure.
Key Responsibilities:
- Define end-to-end data architecture
- Design batch and real-time pipelines using Kafka/streaming
- Architect smart metering data ingestion
- Ensure governance, security, and performance
Required Skills:
- 10+ years experience
- Databricks, Fabric, Azure expertise
- Streaming technologies (Kafka/Event Hub)
- Utilities domain must
Azure Data Architecture in Slough employer: Sonata Software
At Sonata Software, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model allows for flexibility while our commitment to employee growth ensures that you will have access to continuous learning opportunities in cutting-edge technologies like Azure and Databricks. Join us in the UK, where you can be part of a forward-thinking team dedicated to driving digital transformation and creating intelligent ecosystems.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Architecture in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sonata Software!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Azure Data Architecture at Sonata Software.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sonata Software.
✨Apply Directly through Our Website
When you find a suitable opening like Azure Data Architecture at Sonata Software, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Azure Data Architecture in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sonata Software, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sonata Software. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sonata Software
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sonata Software!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
