Senior Solution Architect (Data & AI Solution Specialist)

Project Recruit
London, UK
2 months ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Business Analytics Applications Microsoft Azure Big Data Cloud Computing Data Architecture Information Engineering Data Governance Data Infrastructure Data Integration Fraud Prevention and Detection
+17 more
Machine Learning Metadata Cloud Services DataOps Azure Machine Learning Google Cloud Data Ingestion Azure Data Factory Snowflake Multi-Cloud Data Lakes AI Platforms Information Technology Machine Learning Operations Data Lakehouse Data Pipelines Databricks

Job description

Senior Solution Architect (Data & AI Solution Specialist)

Our client, a leading global supplier for IT services, requires an experienced Senior Solution Architect to be based at their client’s office in London.

This is a hybrid role - you can work remotely in the UK and attend the London office 4 days per week.

This is a 12 month temporary contract to start asap

Day rate: Competitive Market rate

The Role:

A senior Solution architecture specialist focused on designing and championing cloud-native Data & AI solutions for Banking, Financial services and Insurance clients. This role translates complex business requirements into winning technical solutions - leveraging modern data & AI platforms and AI/ML services on cloud - and ensures proposals are compelling, feasible, and outcome-oriented. The Data & AI Solution Specialist works closely with Data & AI Practice, Onsite teams and customer teams and client stakeholders to drive deal success and leading delivery teams for execution.

Key Responsibilities

Client Consulting & Opportunity Shaping:

  • Lead workshops and consultations with client business and IT stakeholders to uncover needs in areas like data modernisation, advanced analytics, AI/ML, and regulatory compliance.
  • Translate business objectives (eg enhanced customer insights, automation of processes, risk analytics) into well-defined Data & AI use cases and solution approaches.

Solution Architecture & Design:

  • Develop end-to-end cloud-native data & AI architectures - spanning data ingestion, storage (data lakes/warehouses/data integration, transformation and Data products), processing pipelines, analytics dashboards, and machine learning/AI platforms.
  • Ensure designs meet non-functional requirements (scalability, security, resilience, performance) and align with BFSI regulatory and security standards.

Consulting Leadership:

  • Own the technical solution in Consulting opportunities and RFP responses.
  • Write and present the solution overview, methodology, delivery plan, and value proposition.
  • Quantify business benefits (eg faster time-to-insight, cost savings through cloud, improved compliance through better data governance) and contribute to pricing and effort estimates.
  • Ensure proposals clearly address client pain points and differentiate TCS’s Data & AI capabilities.

Demonstrations & Proof of Concept (PoC):

  • Create and deliver impactful demos, proofs-of-concept, and prototypes using cloud data platforms (Data integration, Transformation and Data products) and AI services to validate solution feasibility and value.
  • Tailor demo scenarios to BFSI use cases (like fraud detection, customer 360 analytics, regulatory reporting) to build client confidence.

Collaboration & Handover:

  • Work closely with internal teams - sales, delivery managers, domain consultants, and cloud partners - to ensure proposed solutions are deliverable and aligned with available capabilities.
  • Assist in a smooth transition from sales to delivery, briefing delivery teams on the designed solution, architecture decisions, and client expectations.
  • Provide early-stage support to resolve any design challenges.

Thought Leadership & Best Practices:

  • Contribute to the development of re-usable Data & AI accelerators, reference architectures, and best practice guides.
  • Mentor junior solution architects and stay up to date with emerging cloud data technologies (eg Data Lakehouse, DataOps/MLOps, generative AI) to continuously enhance proposal quality.

Key Requirements

  • 15+ years of experience in data architecture, data engineering, and analytics platforms
  • Experience with AWS, GCP, Snowflake, Databricks and Azure data services
  • Strong background in data integration, reporting, and big data ecosystems
  • Very strong understanding and experience of Data products, data mesh and Medallion Architecture implementation
  • Design and implement AI and Gen AI solution for data value chain
  • Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
  • Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms.
  • Design and implement AI and Gen AI solution for data value chain
  • Design data integration pipelines (batch, real-time, big data) and analytics platforms
  • Enable enterprise reporting and BI solutions for regulatory and business needs
  • Define and implement data governance, quality, metadata, and lineage frameworks
  • Act as a trusted advisor to senior business and IT stakeholders
  • Mentor teams and contribute to solutioning and pre-sales activities
  • Hands on experience with preparation for client presentations, Solution architecture, Proof of concepts development.
  • Travel to other office locations for workshops/PI planning workshops (London/Hove/Cardiff based on customer requirements)

Desirable

  • Consulting experience in large BFSI transformation programs (Banking, Financial Services & Insurance)
  • Multi-cloud or hybrid data architecture exposure
  • Cloud or data platform certifications - specially on cloud data technologies

Due to the volume of applications received, unfortunately we cannot respond to everyone

If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.

Please do keep an eye on our website https://projectrecruit.com/jobs/ for future roles.

Requirements

  • 15+ years of experience in data architecture, data engineering, and analytics platforms
  • Experience with AWS, GCP, Snowflake, Databricks and Azure data services
  • Strong background in data integration, reporting, and big data ecosystems
  • Very strong understanding and experience of Data products, data mesh and Medallion Architecture implementation
  • Design and implement AI and Gen AI solution for data value chain
  • Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.

Benefits & conditions

This is a hybrid role - you can work remotely in the UK and attend the London office 4 days per week.

This is a 12 month temporary contract to start asap

Day rate: Competitive Market rate

About the company

Our client, a leading global supplier for IT services, requires an experienced Senior Solution Architect to be based at their client’s office in London.

Apply for this position

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