At a Glance
- Tasks: Lead Snowflake strategy and inspire teams to create exceptional data platforms.
- Company: Forward-thinking tech consultancy with a focus on innovation.
- Benefits: Up to £120k salary, bonus, equity options, and flexible working.
- Other info: Opportunity for significant career growth and industry representation.
- Why this job: Shape the future of data delivery and drive impactful solutions.
- Qualifications: Hands-on Snowflake experience and leadership skills required.
The predicted salary is between 86400 - 120000 £ per year.
Base pay range
This range is provided by Uneek Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Lead Data Architect - Snowflake - London (Hybrid) – Up to £120k + Bonus + Equity
Are you ready to take the lead in shaping the future of Snowflake delivery across data, AI, and cloud? This is a rare opportunity to step into a senior, high-impact role where you’ll set the Snowflake strategy, lead solution design, and inspire teams to deliver exceptional data platforms for a forward-thinking tech consultancy.
Role
- Leadership impact – Be the go-to technical authority on Snowflake, setting best practices, reusable frameworks, and innovative IP.
- Cutting-edge tech – Work with advanced Snowflake features (Snowpark, Native Apps, Data Sharing, Snowpipe, Streams & Tasks, Cortex) to deliver next-gen solutions.
- Career growth – Shape the strategy, train and upskill teams, and represent the business at industry events.
- Influence and innovation – Drive the development of repeatable solutions, explore integrations, and help define new business offerings.
Package
- Salary up to £120,000
- Bonus + equity options
- Permanent, full-time with flexible working arrangements
What you’ll bring
- Significant hands-on Snowflake delivery experience, including performance & cost optimisation
- Snowflake certifications (e.g. SnowPro Core, Advanced: Architect or Data Engineer)
- Experience leading data teams and working closely with both technical and non-technical stakeholders
- A passion for upskilling others and sharing expertise
Seniority level
- Director
Employment type
- Full-time
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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Lead Data Architect - Snowflake in London employer: Uneek Global
Join a dynamic and innovative MEP consultancy in London, where your expertise as a Principal Electrical Engineer will be valued and nurtured. With a strong focus on employee growth, we offer a collaborative work culture that encourages mentorship and professional development, alongside competitive benefits such as a generous salary and hybrid working options. Be part of a forward-thinking team dedicated to delivering cutting-edge electrical designs for data centre projects across Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Architect - Snowflake in London
✨Get Involved in Data Science Meetups
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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 Uneek Global.
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We think you need these skills to ace Lead Data Architect - Snowflake 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 Uneek Global, 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 Uneek Global. 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 Uneek Global
✨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 Uneek Global!
✨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.
