National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Snowflake Data Architect

LSA RECRUIT LTD
Newbury
6 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Snowflake Data Engineer - AWS, Airflow & Iceberg

Snowflake Data Engineer - AWS, Airflow & Iceberg

Snowflake Data Engineer - AWS, Airflow & Iceberg

Lead Data Engineer/Data Architect

Data Engineer

Experience

 

  • Proven experience as a Data Architect, Data Engineer with expertise in designing and implementing data solutions on Snowflake.
  • In-depth knowledge of Snowflake's architecture, features (ELT using Snowpipe, implementing stored procedures and setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel), functionalities and understand how to use these features.  
  • Understanding of data security, encryption, access controls ( RBAC, authentication & authorization), and compliance standards (GDPR, HIPAA, etc.).


Requirements

  • Proficiency in SQL, scripting languages (e.g., Python, Bash) and experience optimizing queries for performance.
  • Strong understanding of data modeling principles, data warehousing concepts, ETL/ELT processes , and building data pipelines.
  • Experience in implementation, execution, and maintenance of Data Integration solutions
  • Experience with cloud technologies (AWS, Azure, or GCP) and integration tools.
  • Experience in Data Migration from various sources to Snowflake cloud data warehouse
  • Experience working with code repositories,  continuous integration & continuous deployment.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Relevant certifications or qualifications in Snowflake or related fields are a plus.


National AI Awards 2025

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.

Jobs Careers

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

Jobs

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

Jobs

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.