Role Title: Data Solutions Architect (GCP)
Business Unit: Data Management
This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on Google Cloud Platform (GCP). The Data Solutions Architect will collaborate with senior stakeholders to modernise data platforms, accelerate cloud transformation, and unlock business value through data and AI.
This is a technical leadership position-not hands-on coding-but one that requires deep architectural expertise, strong consulting skills, and the ability to influence C-suite decision-making. The role also involves significant pre-sales engagement, translating client needs into solution designs and supporting proposal development.
Support responses to RFPs/RFIs/RFSs by translating client requirements into solution blueprints and proposal narratives. Collaborate with sales, pricing, and delivery teams to shape commercially viable and technically sound solutions.
Enterprise Solution Design
Architect and oversee the delivery of scalable data platforms (data lakes, lakehouses, warehouses) using GCP technologies such as BigQuery, Cloud Storage, Databricks, and Snowflake.
Lead cloud migration and modernisation strategies using GCP and tools like Terraform, CI/CD pipelines, Azure DevOps, and GitHub.
Apply hands-on expertise in enterprise data modelling using tools such as ERwin, ER/Studio, or PowerDesigner to ensure performance, scalability, and maintainability.
Design robust data pipelines using tools like Cloud Composer, Dataflow, Dataproc, Informatica, or IBM DataStage, supporting both batch and streaming ingestion.
Data Governance & Quality
Implement governance frameworks, metadata management, and data quality controls using platforms such as Unity Catalog, Alation, Profisee, or DQ Pro.
Act as a trusted advisor to senior client stakeholders (CDOs, CIOs, Heads of Data), shaping strategic roadmaps and transformation initiatives.
Lead and mentor cross-functional teams of architects, engineers, analysts, and data scientists. Promote innovation and best practices across global delivery teams.
Documentation & Artefacts
Produce and maintain architecture blueprints, technical design documents, data models, and integration diagrams to ensure transparency and alignment.
Innovation & Thought Leadership
Stay current with emerging trends in data mesh, data products, generative AI, and open data ecosystems. Contribute to internal capability development and go-to-market strategies.
Required Qualifications & Experience
Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or a related field.
10+ years in BI, data warehousing, and analytics
4+ years in technical or solution architecture roles
Strong experience in the banking domain (e.g., commercial, investment, retail banking, regulatory reporting, finance transformation)
Insurance sector knowledge is a plus (e.g., general/life insurance, reinsurance, underwriting, claims)
3-5 years of hands-on enterprise data modelling
Familiarity with reporting tools such as Power BI, Tableau, or QlikView
Experience with GCP, Azure, or AWS
Proficiency in DevOps tools like Terraform, GitHub, Azure DevOps
Leadership & Communication
Proven ability to lead teams and engage with both technical and business stakeholders.
Preferred: Cloud certifications from GCP, Azure, or AWS.
Competitive salary with performance-based bonus
Private healthcare, life assurance, and income protection
Pension scheme and financial wellbeing programs
Discounts and cashback offers from major retailers
Access to professional development resources including online courses, workshops, and seminars
Flexible hybrid working model
Inclusive and diverse workplace culture
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
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