Pre-Sales & Data Solution Architect
Role details
Job location
Tech stack
Job description
Lead the technical pre-sales process for banking clients, engaging at CIO/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design - Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption - Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products & Transformation - Position reusable data products and architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement - Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering - Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality -
Requirements
Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership - Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight - Stay up to date on emerging trends such as data mesh, data products, and generative AI to strengthen the consultancy's thought leadership. Required Skills & Experience Education: Bachelor's or Master's degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in designing solutions that deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly with senior technical and business stakeholders. Enterprise Data Modelling: 3-5 years using ERwin, ER/Studio, Power Designer, or similar. BI/Reporting Tools: Familiarity with Power BI, Tableau, or Qlik. Certifications: Preferred - Cloud certifications in Azure, AWS, or GCP. What's on Offer Competitive salary with generous bonus Private healthcare and critical illness cover Life assurance (4x annual salary) Income protection insurance Pension scheme Flexible benefits including cashback cards, retail discounts, and cycle-to-work scheme Professional development opportunities, training, and certifications Hybrid working environment supporting balance and collaboration A culture committed to diversity, inclusion, and equal opportunities Interested? Apply today via Focused Futures to learn more about this opportunity with a global leader in data and AI transformation. Unfortunately the client is able to provide sponsorship for this amazing opportunity. All applicants must have recent or current FS sector and consultancy experience for this role.