At a Glance
- Tasks: Lead the design and delivery of modern cloud-based data platforms using Snowflake.
- Company: Join a major data transformation programme with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Ideal for strategic thinkers looking to shape data strategy in financial services.
- Why this job: Make a real impact by unlocking value from data in a dynamic environment.
- Qualifications: Strong experience in Snowflake, data engineering, and leading teams.
The predicted salary is between 70000 - 90000 £ per year.
- Senior Data Architect / Data Engineering Lead
- We are seeking an experienced
Senior Data Architect / Data Engineering Lead to join a major data transformation programme, supporting the design and delivery of modern cloud-based data platforms.
This role is suited to a senior data professional with strong expertise in
Snowflake, cloud data architecture and enterprise data engineering , who can lead technical delivery while working closely with business and technology stakeholders.
The Role
You will be responsible for shaping and delivering enterprise-scale data solutions, helping organisations unlock value from their data through modern architecture, automation and data engineering practices.
Working across technology, business and reporting functions, you will provide technical leadership across data platform design, engineering delivery and data strategy initiatives.
Key Responsibilities
- Lead the architecture, design and delivery of modern enterprise data platforms.
- Develop scalable data solutions using Snowflake and cloud-native technologies.
- Provide technical leadership across data engineering teams and transformation programmes.
- Design and implement robust data ingestion, transformation and modelling solutions.
- Work with business, finance and technology stakeholders to translate requirements into effective data solutions.
- Drive adoption of modern data engineering practices, including automation, CI/CD and Dev Ops principles.
- Support data strategy initiatives and continuous improvement across the data landscape.
- Communicate complex technical concepts clearly to both technical and non-technical audiences.
You will have
- Strong experience designing and delivering
Snowflake-based enterprise data platforms .
• Hands-on experience with
- DBT (Cloud/Core)
- Data ingestion technologies such as Fivetran, HVR or similar tools
- Advanced SQL and data modelling
- Cloud data platforms across AWS or Azure
- Strong understanding of modern data warehouse architectures, including:
- Data Vault
- Kimball methodology
- Lakehouse architecture
- Proven experience leading data engineering teams and delivering large-scale transformation programmes.
- Experience working within Agile and Dev Ops environments, including CI/CD and automation practices.
Experience within
Financial Services or Insurance environments is highly desirable.
Knowledge of financial data domains, including
- Regulatory reporting
- Financial data models and reporting structures
Skills & Attributes
You will be
- An excellent communicator with strong stakeholder engagement skills.
- Able to translate complex technical concepts into business outcomes.
- A strategic thinker with a strong analytical and problem-solving approach.
- Comfortable influencing technical decisions and shaping data strategy.
This is an excellent opportunity for a senior data professional to play a key role in delivering modern data capabilities within a large-scale transformation environment.
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Snowflake Architect employer: Coltech
Coltech is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Bristol. With a hybrid working model, employees enjoy flexibility while tackling complex engineering challenges in mobile security, alongside opportunities for professional growth and development within a supportive team environment. The company values diversity and encourages creative problem-solving, making it a rewarding place for those passionate about technology and security.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake 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 Coltech!
✨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 Architect at Coltech.
✨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 Coltech.
✨Apply Directly through Our Website
When you find a suitable opening like Snowflake Architect at Coltech, 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 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 Coltech, 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 Coltech. 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 Coltech
✨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 Coltech!
✨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.
