At a Glance
- Tasks: Lead the design and implementation of Medallion Architecture in Databricks or Snowflake.
- Company: TechShack, a forward-thinking company focused on data platform modernisation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a team that values innovation and offers excellent career advancement opportunities.
- Why this job: Make a significant impact by modernising large-scale data platforms in a dynamic environment.
- Qualifications: Expertise in Databricks/Snowflake and experience in scalable data pipeline development.
The predicted salary is between 70000 - 90000 £ per year.
Tech Shack is seeking a Senior Data Architect to lead a large-scale data platform modernisation.
You will design and implement Medallion Architecture within Databricks or Snowflake, aligning with governance and performance goals.
Responsibilities focus on delivering scalable data pipelines and models across risk, credit, and liquidity domains, leveraging modern cloud data warehousing practices. #J-18808-Ljbffr
Medallion Data Architect – Databricks/Snowflake Expert in London employer: TechShack
TechShack is an exceptional employer that fosters a culture of innovation and autonomy, allowing you to make a significant impact in the fast-paced world of cybersecurity. With a strong emphasis on employee growth, you will have access to cutting-edge AI tools and the opportunity to shape CI/CD processes, all while working in a collaborative environment that values your contributions. Join us to be part of a team that not only prioritises developer productivity but also champions meaningful change in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Medallion Data Architect – Databricks/Snowflake Expert in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Medallion Data Architect – Databricks/Snowflake Expert in London
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 TechShack, 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 TechShack. 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 TechShack
✨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 TechShack!
✨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.
