Data Solutions Architect -GCP
Data Solutions Architect -GCP

Data Solutions Architect -GCP

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and delivery of data architectures using GCP, influencing client strategies.
  • Company: EXL is a global leader in data and AI, transforming businesses across various industries.
  • Benefits: Enjoy flexible hybrid working, competitive salary, private healthcare, and professional development opportunities.
  • Why this job: Join a dynamic team driving innovation and cloud transformation for top corporations.
  • Qualifications: 10+ years in BI/Data Warehousing with strong technical and leadership skills required.
  • Other info: Diversity is key at EXL; we welcome applicants from all backgrounds.

The predicted salary is between 48000 - 84000 £ per year.

EXL is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 59,000 employees spanning six continents.

Role Title: Data Solutions Architect (GCP)

Location: London, United Kingdom (Flexible hybrid working)

Employment Type: Permanent

Summary of the role: The Data Solutions Architect at EXL plays a strategic, client-facing role within our Data Management practice. This is a technical leadership position, focused on GCP, where you partner closely with senior stakeholders to modernise their data platforms, drive value from data, and accelerate cloud transformation. You will lead the technical design and delivery of complex data architectures and act as a trusted advisor on clients’ end-to-end data strategy. While this is not a hands-on implementation role, you will shape future-state architectures, develop solution strategies, guide workshops, build compelling slide decks, and oversee project execution through collaboration with delivery teams. You will also spend 40-50% of your time assisting in pre-sales activities with clients, including assisting with RFPs, RFIs by translating client requirements into solution blueprints and proposal narratives.

This role is ideal for a professional who combines deep technical expertise with strong communication and consulting skills to influence decisions at the C-suite level and drive large-scale transformation initiatives.

As part of your duties, you will be responsible for:

  • Pre-Sales: Assist with the response to RFPs/RFIs/RFSs by translating client requirements into solution blueprints and proposal narratives. Collaborate with sales, solution leads, pricing teams, and delivery SMEs to shape and articulate solutions that are technically sound, commercially viable, and aligned with client expectations.
  • Enterprise Solution Design: Architect and lead the delivery of large-scale data platforms (including lakes, lakehouses, and warehouses) using GCP, Cloud Storage, BigQuery, Databricks, Snowflake.
  • Cloud Data Strategy: Own cloud migration and modernisation strategy, leveraging GCP, and tools such as Terraform, Azure DevOps, GitHub, and CI/CD pipelines.
  • Data Modelling: Apply deep hands-on expertise in enterprise data modelling using tools like ERwin, ER/Studio, or PowerDesigner, ensuring scalability, performance, and maintainability.
  • ETL/ELT Frameworks: Design and build robust data pipelines with Cloud Composer, Dataproc, Dataflow, Informatica, or IBM DataStage, supporting both batch and streaming data ingestion.
  • Data Governance & Quality: Implement data governance frameworks, metadata management, and data quality controls using Unity Catalog, Profisee, Alation, DQ Pro, or similar platforms.
  • Client Engagement & Advisory: Act as a trusted advisor to clients’ senior leadership (CDOs, CIOs, Heads of Data), influencing strategic decisions and roadmaps through assessments and business cases.
  • Technical Leadership & Team Mentoring: Lead and inspire cross-functional global teams of architects, engineers, analysts, and data scientists. Drive innovation, best practices, and knowledge sharing.
  • Documentation & Architecture Artefacts: Develop and maintain technical design documents, data models, architectural blueprints, and integration diagrams to support project transparency and alignment.
  • Innovation and Industry Insight: Stay up to date with emerging tech in data mesh, data products, GenAI, and open data ecosystems. Contribute to internal capability building and go-to-market initiatives.

Qualifications and experience we consider to be essential for the role:

  • Education: Bachelor’s or Master’s in Computer Science, Information Systems, Business, or related field.
  • Experience: 10+ years in BI/Data Warehousing and analytics, including 4+ years in technical/solution architecture roles. Banking domain experience is essential (e.g., commercial banking, investment banking, retail banking, regulatory reporting, finance transformation). Insurance knowledge is a strong advantage, particularly in general and life insurance, reinsurance, underwriting, or claims.
  • Enterprise Data Modelling: Minimum 3–5 years of hands-on modelling using ERwin, ER/Studio, Power Designer, or similar tools.
  • Reporting Tools: Practical knowledge of Power BI, Tableau, QlikView, or other business intelligence tools.
  • Cloud & DevOps Experience: Hands-on with GCP/Azure/AWS, Terraform, Azure DevOps, GitHub, and modern data engineering approaches.
  • Leadership: Proven ability to lead data teams and collaborate across technology and business stakeholders.
  • Certifications: Preferred – premium certification from big 3 cloud vendors i.e. GCP, Azure, AWS.

As part of a leading global data and artificial intelligence company, you can look forward to a competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.

As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan. At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.

Data Solutions Architect -GCP employer: exl

EXL is an exceptional employer that prioritises innovation, collaboration, and employee growth within a flexible hybrid working environment in London. With a competitive salary, comprehensive benefits including private healthcare and professional development opportunities, EXL empowers its employees to excel in their careers while fostering a diverse and inclusive culture. Join a global leader in data and AI, where your expertise will shape the future of client business models and drive meaningful transformation.
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Contact Detail:

exl Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Solutions Architect -GCP

✨Tip Number 1

Familiarise yourself with GCP and its data services, as this role heavily focuses on Google Cloud Platform. Understanding tools like BigQuery, Cloud Storage, and Dataproc will give you an edge in discussions with potential employers.

✨Tip Number 2

Network with professionals in the banking and insurance sectors, as experience in these industries is essential for this role. Attend industry events or join relevant online forums to connect with key players and learn about their challenges and needs.

✨Tip Number 3

Prepare to showcase your leadership skills by gathering examples of how you've led teams or projects in the past. This role requires strong technical leadership, so be ready to discuss your approach to mentoring and guiding cross-functional teams.

✨Tip Number 4

Stay updated on emerging technologies in data management and AI. Being knowledgeable about trends like data mesh and GenAI can help you stand out as a candidate who is not only technically proficient but also forward-thinking.

We think you need these skills to ace Data Solutions Architect -GCP

Cloud Platform Expertise (GCP)
Data Architecture Design
Enterprise Data Modelling
ETL/ELT Frameworks
Data Governance Implementation
Pre-Sales Engagement
Technical Leadership
Client Advisory Skills
Collaboration with Cross-Functional Teams
Strong Communication Skills
Knowledge of Banking and Insurance Domains
Hands-on Experience with Terraform and CI/CD Pipelines
Proficiency in Reporting Tools (Power BI, Tableau)
Ability to Influence C-suite Decisions
Documentation and Technical Writing

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, particularly with GCP and the banking domain. Use specific examples to demonstrate your expertise in enterprise data modelling and cloud migration strategies.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data solutions and how your background aligns with EXL's mission. Mention your experience in pre-sales activities and your ability to influence decisions at the C-suite level.

Showcase Technical Skills: Clearly outline your technical skills related to GCP, Terraform, and data governance frameworks. Include any relevant certifications from major cloud vendors to strengthen your application.

Highlight Leadership Experience: Since this role involves leading cross-functional teams, emphasise your leadership experience. Provide examples of how you've mentored teams or driven innovation in previous roles.

How to prepare for a job interview at exl

✨Understand GCP and Data Architecture

Make sure you have a solid grasp of Google Cloud Platform (GCP) and its data architecture components. Be prepared to discuss your experience with tools like BigQuery, Dataproc, and Cloud Storage, as well as how you've applied them in previous roles.

✨Showcase Your Pre-Sales Experience

Since this role involves assisting with RFPs and client engagements, be ready to share specific examples of how you've successfully translated client requirements into solution blueprints. Highlight any experience you have in pre-sales activities and how you influenced decision-making.

✨Demonstrate Leadership Skills

As a Data Solutions Architect, you'll need to lead cross-functional teams. Prepare to discuss your leadership style and provide examples of how you've mentored team members or driven innovation in past projects.

✨Prepare for Technical Questions

Expect technical questions related to data modelling, ETL/ELT frameworks, and cloud migration strategies. Brush up on your knowledge of enterprise data modelling tools like ERwin or PowerDesigner, and be ready to explain your approach to designing robust data pipelines.

Data Solutions Architect -GCP
exl
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  • Data Solutions Architect -GCP

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-07-10

  • E

    exl

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