Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Architect - Snowflake/PostgreSQL

ZipRecruiter
Glasgow
1 week ago
Create job alert
Overview

Job Title: Distributed Data Architect - Snowflake/PostgreSQL

Location: Glasgow, Hybrid - 3 days a week in the office.

Employment Type: 1-year contract PAYE

About the Role:

We are seeking a highly skilled and motivated Distributed Data Architect to join a leading enterprise data infrastructure team, overseeing deployments of Snowflake, PostgreSQL, and Greenplum platforms. This is a key engineering role responsible for managing and scaling globally distributed database platforms across hybrid environments. You\'ll contribute to modernisation initiatives, automation frameworks, and performance optimisations to support business-critical data infrastructure.

Key Responsibilities
  • Design, deploy, and manage large-scale distributed database systems with a focus on Snowflake and PostgreSQL.
  • Architect and maintain database clusters across hybrid cloud platforms (AWS, Azure).
  • Develop and implement infrastructure-as-code and automation pipelines for provisioning, monitoring, and scaling.
  • Collaborate with engineering, application, and platform teams to ensure high availability, performance, and security.
  • Lead adoption of best practices in schema design, query optimisation, and data lifecycle management.
  • Design and implement backup, disaster recovery, and data compliance strategies.
  • Mentor junior team members and support cross-training across database technologies.
  • Evaluate and integrate emerging technologies, including cloud-, serverless, and AI/ML capabilities.
Required Skills and Experience
  • Deep technical expertise in PostgreSQL and Snowflake administration and optimization.
  • Proven experience managing large-scale distributed systems (10K+ clusters).
  • Proficient in scripting and automation tools such as Python, Terraform, and Ansible.
  • Experience with CI/CD and modern DevOps practices.
  • Solid understanding of AWS and Azure services and architectures.
  • Excellent communication, collaboration, and problem-solving skills.
Desirable Skills
  • Knowledge of Snowflake design patterns, migration workflows, and cost management strategies.
  • Experience with geo-redundant database setups using tools like Patroni or GoldenGate.
  • Familiarity with data security, governance, and compliance frameworks.
  • Prior experience in managing multi-cloud, high-availability environments.
  • Awareness of third-party integrations, Snowflake Cortex AI, and evolving trends in cloud data warehousing.
Work Location

This role is based in Glasgow, a major hub for technology, operations, and data services. You\'ll be joining a collaborative environment that supports continuous learning, professional growth, and a healthy work-life balance.

How to Apply

If you\'re a data engineer passionate about large-scale systems, automation, and cloud platforms, we\'d love to hear from you. Apply now to take the next step in your career.

We are committed to creating an inclusive recruitment experience. If you have a long-term health condition and require adjustments to the recruitment process, our Adjustment Concierge Service is here to support you. Please reach out to us at to discuss further.

This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect - Azure Data Factory – SC Cleared

Data Architect – AI – Public Sector

Data Architect - Data Vault, Snowflake, ADF

Data Architect (IT) / Freelance

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.