Data Solution Architect & Pre Sales

MANNING SERVICES LIMITED; Greater London; Hybride; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Manning Services Limited is seeking an experienced data solution architect for a hybrid London role, combining work on client sites with flexible remote days.

You will design and deliver enterprise data platforms, mentor teams, and contribute to pre-sales efforts, with emphasis on data modelling, governance, and AI-enabled data management for complex banking, energy or travel engagements.

Qualifications

• 7+ years designing and delivering enterprise data solutions (data warehouses, platforms, integration, migration).
• Experience supporting pre-sales activities: shaping solutions, estimating, and contributing to proposals or RFPs.
• 3+ years with Banking & Capital Markets or Energy/Utilities/Travel sectors, in consulting or industry.
• Hands-on experience architecting on a major cloud data platform with data pipelines.
• Strong data modelling across conceptual, logical and physical models with governance experience.
• A working understanding of AI and generative AI in data management and governance.

Connaissances

Enterprise data solutions design

Pre-sales support

Banking & Capital Markets experience

Cloud data platforms

Data modelling

AI and GenAI in data management

Description du poste

Location: London, United Kingdom (Flexible hybrid working, with time on client site as required)

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

• 7+ years of professional experience designing and delivering enterprise data solutions: data warehouses, data platforms, data integration and data migration.


• Experience supporting pre-sales activity in a consulting services organisation: solution shaping, estimation, and contribution to proposals or RFP responses


• 3+ years of experience working with Banking & Capital Markets organisations (e.g. retail banking, commercial banking, lending, payments, markets and wealth management) or Energy, Utilities and Travel organisations, either within a consulting services environment or directly in industry.


• Hands-on experience architecting solutions on at least one major cloud data platform (e.g., AWS, Azure, GCP, Databricks, Snowflake), including data pipeline and integration design.


• Strong data modelling capability across conceptual, logical and physical models, with practical experience of data quality, metadata and governance design.


• A working understanding of AI and generative AI, including how AI solutions depend on data foundations (e.g., data for RAG and retrieval, metadata and lineage for governed AI use) and how AI capabilities are being applied within data management.