Snowflake Data Architect (hands-on, contract) in London

Snowflake Data Architect (hands-on, contract) in London

London Full-Time On-site
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At a Glance

  • Tasks: Lead the design and delivery of enterprise-scale Snowflake solutions on AWS and Azure.
  • Company: Dynamic client investing in cutting-edge cloud data platforms.
  • Benefits: Competitive daily rate, flexible contract, and opportunity to shape modern data architecture.
  • Other info: Exciting opportunity to work in a fast-paced environment with potential for career growth.
  • Why this job: Take ownership of complex projects and make a real impact in data analytics and AI.
  • Qualifications: Strong experience with Snowflake Architecture and data modelling, especially Data Vault 2.0.

Contract | London - Up to £550/day Outside IR35

We're working with a client that's investing heavily in its cloud data platform and is looking for an experienced

Senior Data Architect contractor to replace their technical lead in the business

. The successful candidate will have demonstrated they can lead the design and delivery of enterprise-scale Snowflake solutions.

This is an opportunity to take ownership of complex data architecture projects, shaping modern data platforms that support analytics, AI, and real-time decision-making.

  • What you'll be doing
  • Architecting and delivering

Snowflake-based data platforms on AWS and Azure.

  • Designing scalable data lakehouse

, medallion, and Data Vault architectures.

  • Building real-time and near real-time data pipelines using modern cloud technologies.
  • Defining data modelling standards, governance frameworks and best practices.
  • Leveraging

Snowflake Cortex AI to accelerate data engineering and analytics capabilities.

  • Working with stakeholders across data, technology and business teams to deliver strategic outcomes.
  • Strong commercial experience with
  • Snowflake Architecture
  • Expertise in
  • Data Modelling
  • , including
  • Data Vault 2.0
  • Experience designing cloud-native data platforms on
  • AWS and/or Azure
  • Proven background delivering large-scale data migrations and modernisation programmes.
  • Strong SQL skills and experience with data warehousing concepts.
  • Experience with
  • DBT
  • SQLMesh

, Delta Lake, Apache Iceberg or similar modern tooling.

  • Snowflake Cortex AI.
  • Python and data engineering automation.
  • Financial Services, Insurance or highly regulated environments.

They'll be looking to get someone started next month.

Snowflake Data Architect (hands-on, contract) in London employer: Opus Recruitment Solutions

Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a ServiceNow Mapping Product Lead will directly impact large-scale digital transformation initiatives. With a focus on employee growth, we provide ample opportunities for professional development and the chance to work alongside industry leaders in a hybrid environment that promotes work-life balance. Our commitment to excellence and support for your career aspirations make us an exceptional employer in the tech landscape.

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Contact Details:

Opus Recruitment Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Snowflake Data Architect (hands-on, contract) in London

✨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 Opus Recruitment Solutions!

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✨Apply Directly through Our Website

When you find a suitable opening like Snowflake Data Architect (hands-on, contract) at Opus Recruitment Solutions, 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 (hands-on, contract) in London

Communication Skills
Python
Data Quality Assurance
SQL
Data Governance
Data Engineering
Data Pipeline Development

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!

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Craft a Tailored Cover Letter:For a full-time role at Opus Recruitment Solutions, 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 Opus Recruitment Solutions. 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 Opus Recruitment Solutions

✨Brush Up on Your Statistics

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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

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✨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.