Senior Technical Lead

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 -

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

Project descriptionThis is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue - a foundational shift in how one of the world’s largest financial market infrastructure companies handles its data pipelines.During this Mobilisation Phase, you’ll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.The work is technically rich and highly collaborative: you’ll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance - from