Snowflake Data Architect - £110,000 - £125,000 - Remote UK

Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Snowflake Data Engineer | Senior Consultant

Data Engineer (Snowflake and Matillion) - £425PD - Remote

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Snowflake Data Architect - £110,000 - £125,000 - Remote UK

Company Overview:

My client is a modern data consultancy that empowers data-driven organisations to realise the full value of the Snowflake Data Cloud. They provide consulting and managed services in data architecture, data engineering, analytics, and data science. Renowned for their deep expertise, ease of collaboration, and exceptional culture, they are looking for curious and creative individuals to join their dynamic environment. This is a fully remote role allowing an ideal work-life balance.

Role Overview:

As a Data Architect, you will design and implement data architecture solutions for clients, leveraging expertise in data modelling, data integration, and analytics. You will lead architectural discussions and design exercises to build and automate large-scale data migrations with cross-functional teams in the US, Portugal, and Costa Rica. You will also work closely with Sales teams to provide pre-sales architecture expertise. Ideal candidates will have strong communication skills and the ability to guide clients and project team members.

Requirements:

6+ years of experience in data warehousing/BI/analytics.
3+ years as an Architect.
Experience with Cloud platforms.
Strong knowledge of data integration techniques (ETL/ELT, data pipelines).
Proficiency in SQL and scripting languages (e.g., Python).
Excellent problem-solving and analytical skills.
Strong communication and presentation skills.Nice to Have:

Experience with Snowflake.
Understanding of Snowflake design patterns and migration architectures.
Cloud experience on AWS (Azure, GCP are nice to have as well).
Python scripting.

Interviews ongoing don't miss your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance.

Contact me @ (url removed) or on (phone number removed).

Snowflake, Data Architect, Architecture, Architect, Consultancy, Cloud, WFH, Remote

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.