Pre-Sales & Data Solution Architect

New Yesterday

Role Title: Pre-Sales & Data Solution Architect Business Unit / Segment: Data Management Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent
Summary Our client, a leading global data and AI consultancy, is seeking a Pre-Sales & Data Solution Architect Lead - hybrid role to become one of their leaders in this area in their Data Management practice with a focus on banking clients . This is a strategic, client-facing role where you will partner with senior stakeholders to modernise data platforms, accelerate cloud adoption, and drive measurable business value.
The role combines technical leadership with consulting and pre-sales expertise . You will design enterprise data solutions, shape transformation roadmaps, and engage at C-suite level to influence decisions. Around 40–50% of your time will be spent on pre-sales activity, including responding to RFPs/RFIs and shaping compelling solution narratives.
Key Responsibilities Pre-Sales Leadership – 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 – 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.
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Location:
London, England, United Kingdom
Job Type:
FullTime

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