At a Glance
- Tasks: Design secure, high-performing cloud data architectures for analytics and AI initiatives.
- Company: 83data, a leader in enterprise cloud data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams to drive impactful data solutions.
- Why this job: Shape the future of data architecture in a dynamic, innovative environment.
- Qualifications: Experience in data architecture and proficiency with Databricks, Snowflake, AWS, and GCP.
The predicted salary is between 72000 - 88000 £ per year.
83data is seeking an experienced Senior Data Architect to shape enterprise-scale cloud data platforms.
You will design secure, high-performing architectures that power analytics, AI and ML initiatives across banking/regulated sectors.
You will collaborate with engineering, data and business teams to set standards, governance and strategy, delivering end-to-end data solutions using Databricks, Snowflake, AWS and GCP.
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Senior Data Architect — Enterprise Cloud Data Platforms employer: 83data
Join a leading global organisation in London Paddington, where innovation meets opportunity. As a Senior Data Architect, you'll thrive in a dynamic work culture that prioritises collaboration and professional growth, with access to cutting-edge cloud technologies and a commitment to employee development. Enjoy competitive compensation, including a bonus, while contributing to transformative projects that shape the future of data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect — Enterprise Cloud Data Platforms
✨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 83data!
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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 83data.
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We think you need these skills to ace Senior Data Architect — Enterprise Cloud Data Platforms
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 83data, 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 83data. 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 83data
✨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 83data!
✨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.
