Pre-Sales Data Solution Architect
K
UK HQ, Seven House, 18 High Street, Longbridge, B31 2UQFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 10+ years' experience of Consulting; 7+ years' experience of hands-on skills with ETL/ELT tools
- Required Skills
- ETLMicrosoft Power BIDatabricks
Requirements
- Proven track record in pre-sales for data solutions, ideally within enterprise transformation programmes
- Strong understanding of data platforms, analytics and data science from both a technology and business value perspective
- Experience with Microsoft Azure cloud data services (Microsoft Fabric, Azure Synapse Analytics, Power BI, Databricks, Azure AI Foundry)
- Excellent written and verbal communication, particularly in bid writing and solution presentations
- Commercial acumen with ability to construct deals ranging from 50K to 5M
- Stakeholder management and technical team interaction (internal, external and 3rd party)
- Familiar with Data Lakehouse design and Data analytics solutions
- Familiar with structured/unstructured data management approaches and technology
- ETL/ELT best practise approaches to monitoring and error-handling
- Data Governance tooling knowledge (e.g. Microsoft Purview)
- 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
- Appreciation of information security standards such as ISO27001, PCI-DSS, Cyber Essentials
- Desirable: Master Data Management tools (e.g. CluedIn, Profisee, etc)
- Desirable: Non-Microsoft analytics technology e.g. AWS, GCP, Databricks, Snowflake
- Desirable: Integration to D365 and working knowledge of Microsoft Common Data Model
- Desirable: Understanding of data-modelling techniques (Kimball, Data Mesh etc)
- Desirable: Microsoft Azure data certifications
- Desirable: Microsoft security, identity, networking and storage technologies and cost/performance characteristics
Responsibilities
- Be a known analytics and data science evangelist within Kerv
- Attend conferences, events and other engagements to evangelise data approaches, products and Kerv services
- Develop, refine and ultimately own the analytics and data science go to market strategies
- Own the tender response / proposal process, including technical, commercial, and costing aspects
- Collaborate with our sector POD teams, tailoring analytics and data science offerings and accelerators to industry verticals
- Collaborate with our sales teams, including across the Kerv group, to identify and qualify data 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
- Work with customers to understand their business requirements and recommend solutions that meet their needs
- 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
- 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
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