Experian
Data and technology
SolutionArchitect(AWS,AI,Python)
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“Solution Architect (AWS, AI, Python) at Experian. Skills: AWS, AI, Solution Architecture, Data Engineering. Design cloud architectures on AWS. Architect solutions leveraging AWS services”
What You'll Achieve.
Shape technical direction of AI and data platforms; Ensure scalability, performance, and cost efficiency; Proactively identify and remediate security vulnerabilities; Make informed integration and interoperability decisions; Validate architectural approaches ahead of production commitment; Ensure alignment with architectural principles; Ensure alignment with delivery objectives; Ensure compliance with enterprise security standards
Industry & Context.
Uncover and prevent fraud; Simplify healthcare; Create marketing solutions; Gain deeper insights
What They're Looking For.
Must Have
Senior Solution Architect experience, Deep hands-on expertise with AWS, Demonstrated experience designing and deploying AI/ML and GenAI applications on AWS, Hands-on experience building and deploying MCP servers and AI Agents, knowledge of API authentication and security, Experience designing batch and streaming data pipelines at enterprise scale, Working knowledge of NoSQL databases, Familiarity with Veracode or equivalent security vulnerability scanning tools, understanding of data encryption principles, Proficiency with IaC tools and CI/CD platforms
Nice to Have
Experience with multi-agent frameworks, Knowledge of data mesh or data fabric architectural patterns, Familiarity with vector databases, AWS certifications
What You'll Do.
Design cloud architectures on AWS
Architect solutions leveraging AWS services
Lead design of Data Warehouse and Data Lake solutions
Define architectural frameworks and patterns
Drive organisation's AI strategy
Architect Generative AI solutions
Design and deploy MCP servers and AI Agents
Design data pipeline architectures
Architect solutions using NoSQL databases
Apply best practices in data modelling
Ensure solutions adhere to security frameworks
Integrate security tooling into development lifecycle
Design data encryption strategies
Apply secure-by-design principles
Maintain understanding of communication protocols
Lead Proof of Concept engagements
Operate across developer lifecycle
Champion DevOps and automation practices
Collaborate with development teams
How You'll Work.
Team & Collaboration
Collaborate closely with development teams; Collaborate with third-party suppliers; Collaborate with product stakeholders
Process & Methodology
Proof of Concept (POC) engagements, Proof of Value (POV) engagements
Full Job Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. * Role Overview We are seeking a highly experienced Senior Solution Architect to lead the design and delivery of enterprise-grade, secure, and scalable cloud-native solutions. This role sits at the intersection of AI strategy, data engineering, and platform architecture within a highly regulated environment. You will be instrumental in shaping the technical direction of next-generation AI and data platforms, from early-stage proof of concepts through to production-grade architectures. * Key Responsibilities * Cloud Architecture & Solution Design * Design, validate, and prove complex end-to-end cloud architectures on AWS , spanning batch processing, real-time streaming, and event-driven patterns. * Architect solutions leveraging AWS services including EC2, S3, Lambda, SNS, SQS, Kinesis, AWS Glue, Athena, Redshift, and EMR/EMR Serverless. * Lead the design of Data Warehouse and Data Lake solutions, ensuring scalability, performance, and cost efficiency. * Define and govern architectural frameworks, patterns, and reusable design blueprints for use across engineering teams. * AI Strategy & Generative
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