National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Solution Architect - Data Engineering

HSO
Manchester
3 months ago
Create job alert

About HSO

HSO are a leading member of the Microsoft Dynamics Inner Circle, founded in 1987, and specialize in sectors such as Retail, Manufacturing, Professional Services, Financial Services and Local Government. We’ve won several prestigious awards over the last few years including being voted in the UK’s top 10 Best Large companies to work for. We are also proud to have been named the D365 Finance Microsoft Partner of the Year and Finalists for D365 Sales & Marketing. 

HSO is the place to work for those in the Microsoft Dynamics channel. People join and stay because we care; about adding value to our customers, about delivering what we say we will, striving to improve ourselves, being inclusive and having fun. 

The core values that enable us to work so well together also mean our customers want to work with us. We choose to be different to other Microsoft Partners. Caring about our people, customers and quality of work differentiates us. We always support our people and customers to achieve shared, agreed goals. 

Role Purpose 

This senior role combines technical leadership with strategic thinking to build, enhance, and deliver data solutions leveraging Microsoft Azure and Fabric. You will work closely with sales teams and clients to identify opportunities to optimize technology ecosystems, ensuring readiness for AI-driven transformation. 

You’ll support the development of a robust Data & AI framework, enabling scalable and future-ready solutions while mentoring the team to achieve technical and professional excellence. 

Key Responsibilities 

Design, implement, and optimize Azure-based data platforms, focusing on Fabric and AI readiness.  Drive innovation in data solutions, ensuring alignment with clients’ evolving business needs.  Oversee the end-to-end data lifecycle, including extraction, transformation, integration, and analytics.  Collaborate with sales teams to identify and articulate technology enhancement opportunities for clients.  Translate technical capabilities into commercial value propositions for stakeholders.  Lead client discussions, presenting tailored solutions aligned with their digital transformation goals.  Provide mentorship and leadership to the Data & AI team, fostering a culture of excellence and innovation.  Support embedding a structured Data & AI framework, enabling scalability and standardisation across projects.  Act as a technical advisor, supporting the professional development of team members.  Anticipate and identify trends in data and AI technologies to future-proof client solutions.  Advocate for and implement AI-enhanced capabilities in client ecosystems, leveraging the full Microsoft stack.  Promote best practices in data governance, security, and scalability. 

Requirements

Extensive experience with Microsoft Azure technologies, including: Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL, Microsoft Fabric  Proficiency in Power BI (Power Query, DAX, Power BI Service).  Strong understanding of data architecture, integration, and AI-readiness design.  Familiarity with emerging AI tools and technologies within the Microsoft ecosystem.  Proven track record of mentoring and supporting high-performing teams.  Ability to embed frameworks and standardize practices across data and AI projects.  A strategic mindset with the ability to inspire teams and clients towards future-ready solutions.  Strong commercial awareness with the ability to articulate technical solutions in business terms.  Experience in identifying opportunities and influencing senior stakeholders.  Excellent communication skills with the ability to manage and exceed client expectations.  Exposure to other Microsoft technologies (, .Net, Dynamics 365, SharePoint).  Experience working in a Microsoft Partner environment.

Attitude/Personality: 

Customer-centric - able to operate/influence at senior board level Confident with customers and able to manage their expectations commercially Organised, detailed and able to translate contract SLA’s and customer requirements into working documentation Flexibility – happy to turn hand to any tasks/do what’s needed Big picture thinking – ability to step away from the detail and direct (and allow other to progress/deliver specifics on their behalf) but support the team (at a micro level) if/when required Facilitation – consensus-building approach with the ability to quickly and effectively assimilate, structure and present back options and ideas to varied set of stakeholders.

Location 

This is a hybrid role and can be based either from our Reading, Glasgow or Manchester offices, or home. Please expect planned travel which may involve overnight stays near customers, our offices and other UK locations for meetings, events and training. 

Benefits

We offer a competitive, market-aligned salary, that reflects the skills and experience of each candidate. Our commitment to providing a fair and equitable salary ensures we attract and retain top talent in our industry. The salary package will be discussed during the interview process and will be based on current market benchmarks for similar roles, as well as the individual’s qualifications and experience.

In addition to base salary, eligible employees have the opportunity to earn performance-based bonuses and participate in our benefits programs.

Related Jobs

View all jobs

Data Solution Architect - Data Engineering

Data Solution Architect - Data Engineering

Data Solution Architect - Data Engineering

Solution Architect (Data Engineering)

GIS Manager - Digital Twin

Lead Data Scientist

National AI Awards 2025

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 to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.