Microsoft Data Solution Architect

Belfast
11 months ago
Applications closed

Microsoft Data Solutions Architect needed for a permanent opportunity for a leading Microsoft Partner.

Key Role Responsibilities

  • Articulate Data Value: Understand and communicate the value data brings to an organization in alignment with business goals.

  • Design and Development Leadership: Lead the design and development of data solutions, including coding, testing, and defect resolution.

  • Hands-on Development: Actively develop components of data solutions.

  • Requirement Identification: Identify and translate functional, technical, and non-functional requirements into user stories for the team.

  • Performance Management: Manage performance, optimize costs, and execute unit and integration testing for data pipelines and reports.

  • Customer and Team Advisory: Advise on effort estimation and technical implications of user stories, manage work breakdown from inception to delivery, and oversee the team's backlog.

  • Customer Relationship Management: Maintain key relationships with decision-makers, including CxOs, throughout project delivery.

  • Industry Trends Awareness: Stay updated on trends in data science and engineering, including techniques, competitors, partners, and technology.

  • Continuous Improvement: Promote best practices and continuous improvement in data solutions.

  • Ability to do a Tender

    Education, Qualifications, and Skills

  • Experience: 5+ years in data roles.

  • Technical Skills:

    • Development experience with Microsoft (Azure) technologies, including Azure Data Factory, Synapse, and Power BI, or relevant ETL tools.

    • Expertise in Microsoft Fabric or Databricks

    • Experience with technology partners or consulting organizations is highly desirable.

    • Leadership experience in technical teams (engineers, analysts, architects) for data-intensive systems.

    • Proficiency in SQL or SQL extensions for analytical use cases.

    • Deep understanding of distributed data stores and data processing frameworks.

    • Ability to communicate technical designs clearly, both written and verbally.

    • Proficiency in designing analytical and operational data models.

    • Background in Data Architecture, Engineering, or Analytics with knowledge of modern enterprise architecture patterns.

    • Proven track record in delivering data-oriented solutions, including data warehousing, operational insight, data management, or business intelligence.

  • Certifications: Azure/Databricks data certifications are desirable.

    If you want the opportunity to take your career to the next level, please apply now

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

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

🍪 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.