> Markdown version of [/jobs/ext/2767567-senior-technical-lead](https://www.wearedevelopers.com/jobs/ext/2767567-senior-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Technical Lead - **Company:** The Project - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Big Data, Software Design Documents, High-Level Architecture, Power BI, Tensorflow, Data Streaming, Tableau (Software), GitHub Copilot, Cloudformation, Data Lakes, Pyspark, Data Analytics, Data Management, Machine Learning Operations, Virtual Agents, Terraform - **Published:** September 7, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/senior-technical-lead/46388763 ## About the Role deep hands-on experience designing solutions using these core AWS servicesIaC (Terraform) - strong experience defining and managing infrastructure as code with TerraformData platform architecture - proven experience architecting data platforms (data lakes, warehouses, pipelines) at scalePySpark - hands-on experience with PySpark for large-scale data processingCI/CD - experience designing and implementing CI/CD pipelines for infrastructure and data workflowsAI/ML frameworks - working knowledge of AI/ML frameworks and their application within architecture designGitHub Copilot - practical experience using GitHub Copilot within development/architecture workflowsNice to haveAWS certification (Data Analytics Specialty or Solutions Architect)Experience with BI tools (QuickSight, Tableau, Power BI)Infrastructure as Code experience (Terraform/CloudFormation)Industry experience relevant to your businessExposure to streaming data (Kinesis) or ML pipelines (SageMaker)experince in financial domain #J-18808-Ljbffr ## Description Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.ResponsibilitiesTarget-state architecture design - define and own the target-state AWS architecture across compute, data, and orchestration layersHLD/LLD ownership - produce and own High-Level Design and Low-Level Design documentation for migration workloadsARB submissions - prepare and present architecture proposals to the Architecture Review Board for approvalTechnical decisions - make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)Pattern definition - define reusable architecture and migration patterns for use across teams/podsAgentic AI framework architecture - design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscapeSKILLSMust have5+ years experiencehands-on experince with AWS MigrationAWS Glue, Step Functions, Lambda, EventBridge - ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)