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For Companies At a Glance
- Tasks: Lead pre-sales processes and design data solutions for banking clients.
- Company: Join a top global consultancy specialising in data and AI transformation.
- Benefits: Enjoy competitive salary, private healthcare, flexible working, and professional development opportunities.
- Why this job: Be at the forefront of data innovation, influencing C-suite decisions and driving real change.
- Qualifications: 10+ years in BI/Data Warehousing with pre-sales experience, especially in banking.
- Other info: Hybrid role based in London; sponsorship not available.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
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.
Pre-Sales & Data Solution Architect employer: Focused Futures Consultancy LTD
Contact Detail:
Focused Futures Consultancy LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pre-Sales & Data Solution Architect
✨Tip Number 1
Familiarise yourself with the latest trends in data management and cloud solutions, especially those relevant to the banking sector. This knowledge will help you engage effectively with senior stakeholders and demonstrate your expertise during discussions.
✨Tip Number 2
Network with professionals in the banking and data consultancy fields. Attend industry events or webinars to connect with potential colleagues and clients, which can provide valuable insights and opportunities for collaboration.
✨Tip Number 3
Prepare to showcase your pre-sales experience by developing a portfolio of successful projects where you've influenced C-suite decisions. Highlight specific examples that demonstrate your ability to translate complex requirements into actionable solutions.
✨Tip Number 4
Stay updated on the tools and technologies mentioned in the job description, such as Azure, AWS, and Databricks. Being well-versed in these platforms will not only boost your confidence but also position you as a strong candidate for the role.
We think you need these skills to ace Pre-Sales & Data Solution Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in pre-sales and data solution architecture, particularly within the banking sector. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Emphasise your experience with cloud technologies and your ability to engage with senior stakeholders, as these are crucial for this position.
Showcase Relevant Projects: Include specific examples of projects where you have led pre-sales activities or designed data solutions. Highlight measurable outcomes to illustrate your impact and expertise in the field.
Prepare for Technical Questions: Anticipate technical questions related to cloud architecture and data management during the interview process. Brush up on your knowledge of tools like Azure, AWS, and data governance frameworks to demonstrate your expertise.
How to prepare for a job interview at Focused Futures Consultancy LTD
✨Understand the Role
Make sure you have a clear understanding of the Pre-Sales & Data Solution Architect role. Familiarise yourself with the key responsibilities, especially around pre-sales leadership and enterprise solution design, as this will help you tailor your responses during the interview.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud platforms like Azure, AWS, or GCP. Highlight specific projects where you've designed data solutions or led cloud migrations, as this will demonstrate your technical leadership and consulting skills.
✨Prepare for C-Level Engagement
Since this role involves engaging with senior stakeholders, practice articulating complex technical concepts in a way that resonates with business leaders. Use examples from your past experiences to illustrate how you've influenced decisions at the C-suite level.
✨Stay Updated on Industry Trends
Research current trends in data management and banking transformation, such as data mesh and generative AI. Being knowledgeable about these topics will not only impress your interviewers but also show that you're committed to staying ahead in the field.
