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Data Solution Architect - Data Engineering
About HSOHSO 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.