At a Glance
- Tasks: Optimise enterprise Data Platform using Azure Databricks and enhance serverless capabilities.
- Company: HelloKindred, a forward-thinking company based in London.
- Benefits: Hybrid work arrangements, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on scalable data solutions and CI/CD delivery.
- Why this job: Make a real impact on data analytics and governance in a modern environment.
- Qualifications: Experience with Azure Databricks and strong understanding of FinOps practices.
The predicted salary is between 63000 - 77000 £ per year.
Hello Kindred in London is seeking a Platform Architect to optimise an enterprise Data Platform using Azure Databricks.
You will enhance serverless capabilities, drive Fin Ops practices, and strengthen governance while modernising analytics workloads.
The role focuses on migration of POSIT/RStudio workloads, cost attribution and secure integrations, with hybrid work arrangements and a strong emphasis on scalable data ingestion and CI/CD-driven delivery.
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Databricks Platform Architect – FinOps & Serverless employer: HelloKindred
HelloKindred is an excellent employer that prioritises a professional and supportive work environment, making it an ideal place for a Strategic Employee Relations Manager. With a strong focus on effective people management and fair hiring practices, employees are encouraged to grow and develop their skills while contributing to a culture of respect and collaboration. Located in the United Kingdom, HelloKindred offers unique opportunities for career advancement within a dynamic team dedicated to fostering positive employee relations.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Platform Architect – FinOps & Serverless
✨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 HelloKindred!
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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 HelloKindred.
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We think you need these skills to ace Databricks Platform Architect – FinOps & Serverless
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 HelloKindred, 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 HelloKindred. 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 HelloKindred
✨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 HelloKindred!
✨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.
