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

Apply Now

Data Architect

Version 1
Belfast
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Architect - Data Engineering

Lead Data & Machine Learning Architect

Lead Data & Machine Learning Architect

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Senior Data Engineer / Architect

Lead Data & Machine Learning Architect

Job Description

As a Data Solution Architect you will be expected to take an architecture lead role on our client’s solution delivery engagements, with high levels of customer engagement. This will involve ongoing analysis of business requirements throughout the lifetime of the service. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments.

Typically the role will involve the following:

  • Translating Business requirements to technical solutions and the production of specifications,
  • Designing and implementing business intelligence & modern data analytics platform technical solutions,
  • Data architecture design and implementation
  • Data modelling,
  • ETL, data integration and data
  • migration design and implementation
  • Master data management system and process design and implementation,
  • Data quality system and process design and implementation,
  • Major focus on data science, data visualisation, AI, ML,
  • Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD,
  • Working within a project management/agile delivery methodology,
  • Managing Team Members on a day to day basis,
  • Managing technical delivery of solution,
  • Strong stakeholder management and communication ski


Qualifications

  • Hands on experience with data solution architecture, design and rollout.
  • Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure.
  • Experience with multi-dimensional design, star schemas, facts and dimensions. 
  • Experience and demonstrated competencies in ETL development techniques.
  • Experience in data warehouse performance optimization.
  • Experience on projects across a variety of industry sectors an advantage,
  • Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching,
  • Good knowledge of Databricks, Snowflake, Azure / AxoWS / Oracle cloud, R, Python. 



Additional Information

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.

One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.

We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.

Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

Laura Cowan

#LI-LC1

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.