Pre-Sales Data Solution Architect

Overview

Join to apply for the Pre-Sales Data Solution Architect role at Kerv

Salary: competitive depending upon experience + benefits

Where the job is based
: (home-based, working with Kerv Digital office/customer site visits as required) UK HQ, Seven House, 18 High Street, Longbridge, B31 2UQ

We are seeking a technically astute data evangelist to join our pre-sales practice, with a data consultancy / Microsoft background experienced in shaping compelling data-driven solutions and supporting the sales cycle from qualification through to bid submission. Primarily a technical role, it is essential that you are able to play well with others within a fast paced environment.

You will be a self-starter, technically confident, able to swiftly create value driven technical demos and presentations and instantly add value. Keen to stay updated in the latest leading-edge and bleeding-edge technologies, with a wide-ranging interest in all things Data.

Having proven experience working in a data solutions role in a Microsoft ecosystem, Data Platform experience is essential, with hands-on skills in Microsoft Fabric, Azure Synapse, and Azure AI Foundry. You will understand networks, security and performance/cost characteristics of your solutions and be able to configure these.

• Leveraging your deep hands-on experience of all things Data, you will:
• Be a known evangelist within side Kerv on all things data, passionate, excitable and keen to share Data approaches with the world!
• Attend conferences, events and other engagements to evangelise data approaches, products and other.
• Collaborate closely with the Sales Team, Data Team, and Data Practice lead, ensuring that you remain strategically aligned
• Collaborate with our sales teams, including across the Kerv group, to identify and qualify business opportunities
• Develop and deliver technical presentations and demonstrations to customers in a value driven story telling manner
• Bring to life tailored demos that not only solve client challenges but drive forward the benefits they seek
• Partner with Directors and Architects to present solutions in client meetings, workshops, and deliver demos with clarity and impact
• Provide trusted technical guidance and support to customers during the presales process
• Help respond to and shape proposals including technical, commercial, and costing aspects
• Work with customers to understand their business requirements and recommend solutions that meet their needs
• Develop and maintain relationships with key stakeholders within customer organisations
• Stay up to date with the latest trends and developments in the Data and AI space
• Work with the product team to provide feedback on product features and functionality, including identifying possible recurring requirements to be turned into products
• Participate in internal and external industry events and conferences to promote Data solutions and build relationships with customers
• Feed into the Technical Design Authority (TDA) and Strategic Advisory Board (SAB) processes

• Proven track record in pre-sales for data solutions, ideally within enterprise transformation programmes
• Strong understanding of data platforms, integration, migration, and intelligent data ecosystems
• Experience with cloud data services (Microsoft Fabric, Azure Synapse Analytics, Power BI, Databricks, Purview)
• Excellent written and verbal communication, particularly in bid writing and solution presentations
• Commercial acumen with ability to construct deals ranging from £250K to £5M
• Stakeholder management and technical team interaction (internal, external and 3rd party)
• Familiar with Data Lakehouse design and Data analytics solutions
• ETL/ELT best practise approaches to monitoring and error-handling
• 10+ years’ experience of Consulting, ideally with Nonprofit, Government or Financial Services experience
• 7+ years’ experience of hands-on skills with ETL/ELT tools
• Working knowledge of Microsoft Cloud Adoption Framework and Well Architected Framework
• Knowledge of integration to D365, Dataverse solutions and other SaaS applications
• Microsoft Fabric knowledge
• Data Governance tooling knowledge (e.g. Microsoft…