Data Architect

Catch Resource Management
West Midlands
1 year ago
Applications closed

Related Jobs

View all jobs

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Data Engineer

Data Analyst - Performance

Data Engineer (AI Analytics and EdTech Developments)

Data Engineer DV Cleared

Data Analyst - Performance

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.