At a Glance
- Tasks: Lead the design and evolution of a large-scale cloud data ecosystem.
- Company: Innovative tech firm focused on cloud and data integration.
- Benefits: Competitive salary, bonuses, and comprehensive benefits package.
- Other info: Join a high-performing team dedicated to innovation and continuous improvement.
- Why this job: Shape strategic technology decisions and influence enterprise-level architecture.
- Qualifications: Experience with cloud data platforms, Snowflake, and event-driven architectures.
The predicted salary is between 70000 - 90000 £ per year.
- Snowflake Data Architect - Data & Integration Platforms
- London - Hybrid Working
This is a great opportunity for an experienced Data Architect to lead the strategy, design and evolution of a large-scale cloud data and integration ecosystem.
This is an opportunity to shape architecture at enterprise level, influence senior stakeholders and drive the adoption of cutting‑edge technologies across data, streaming and cloud platforms.
The Opportunity
You’ll play a pivotal role in defining the future-state architecture for a complex data estate, helping to modernise platforms, establish engineering standards and deliver scalable, secure and high‑performing solutions.
Working with senior business and technology leaders, you’ll own architectural direction across cloud data platforms, event‑driven architectures, integration frameworks, platform engineering and automation capabilities.
- What You’ll Be Doing
- Defining enterprise‑wide platform architecture, standards and best practices
- Leading large‑scale cloud data transformation initiatives
- Driving modernisation roadmaps across data, integration and platform engineering
- Designing scalable event‑driven and streaming architectures
- Establishing governance, security and resilience frameworks
- Shaping CI/CD, automation and infrastructure‑as‑code strategies
- Collaborating with engineering teams to deliver data products at scale
- Influencing senior stakeholders and providing strategic technical leadership
- What they’re Looking For
- Enterprise cloud data platforms
- Snowflake
- Event‑driven architecture and modern integration patterns
- Azure, AWS or GCP
- Kubernetes and cloud‑native technologies
- CI/CD, Dev Ops and automation
- Data governance, security and operating models
Why Apply?
- Shape strategic technology decisions at enterprise scale
- Work with modern cloud, data and streaming technologies
- Influence architecture across multiple business domains
- Engage directly with senior business and technology stakeholders
- Join a high‑performing environment focused on innovation, scalability and continuous improvement
- Competitive salary, bonus and comprehensive benefits package
- #J-18808-Ljbffr
Snowflake Data Architect employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect
✨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 Jefferson Frank!
✨Show Off Your Projects
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 Snowflake Data Architect at Jefferson Frank.
✨Leverage Professional Networks
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 Jefferson Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Snowflake Data Architect at Jefferson Frank, 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 Snowflake Data Architect
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 Jefferson Frank, 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 Jefferson Frank. 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 Jefferson Frank
✨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 Jefferson Frank!
✨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.
