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

Apply Now

Data Architect

Catch Resource Management
West Midlands
10 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

Data Architect –Dynamics 365 CRM, D365 CRM, Microsoft Dynamics CRM, Data Migration, Data Architect, Data Modelling, Data Warehousing, ETL, Data Integration, Cloud Architecture, Azure, SQL,Database Design, Data Governance, Data Security, Data Migration, Business Intelligence, Analytics, Data Strategy, Data Management, Master Data Management, Data Lakes, Data Pipelines, Customizations, Configuration – Contract – West Midlands - £625pd

We are looking for experienced Data Architect, preferably with expertise in Dynamics 365 / D365 CRM / CE for an exciting contract opportunity. This is a 6-12-month role where as well as defining the data taxonomy and ontology, you will steer the direction of the business in relation to data retention and ageing from all their data sources, repositories and entities.

Key Skills & Experience:

  • Data architecture experience.
  • Strong Data Governance experience
  • Adaptability to migrate to other systems as part of re-platforming roadmap
  • An understanding of system maintenance, integration and change management processes.
  • With a strong ability to navigate through complexity the ideal candidate will have experience working in a large transformation programme with a significant background in ERP
  • You will be working across multiple stakeholders so your ability to understand key business drivers within a complex business setting will be key.
  • Significant background in ERP technology, Master Data, Management Information, and Data Migration requirements.
  • Being an expert in your field with extensive skills in Data Architecture, Strategy and governance
  • You will be an open minded, evidence-based decision maker who uses their reasoning and fair mindedness to make logical decisions

Main Responsibilities:

  • Define a data strategy with the associate roadmap.
  • Define the data taxonomy and ontology
  • You will steer the direction of the business in relation to data retention and ageing from all our data sources, repositories and entities
  • Define data governance policies, ensure data quality and security, and collaborate with cross-functional teams to align data architecture with business needs.

Location:West Midlands, Hybrid

Candidates must be eligible to work in this country.

Catch Resource Management is a leading provider of Dynamics 365, JD Edwards, NetSuite and other ERP resources to both end users and to product suppliers/authors.

Our consultants deliver a completely professional resourcing service, always backed up by our team of ERP specialists who are all experienced in full project life cycle implementation and support, thus ensuring that we fully understand our clients’ requirements and our candidates’ skills.

If you have the relevant skills and experience for this position we would welcome your application, however please note that we receive high levels of responses to our advertisements so can only immediately respond to those that are a close match. However, if you are interested in hearing about similar positions then please register on our website:

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.