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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Enterprise Architect - **Company:** Capgemini - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $180,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Continuous Integration, Data Governance, Data Infrastructure, Data Sharing, Cursor (Graphical User Interface Elements), Database Models, DevOps, Programming Tools, Fault Tolerance, Github, NoSQL, DataOps, Azure Machine Learning, SAP (Applications), Scala (Programming Language), Software Engineering, Data Streaming, Zachman Framework, Google Cloud, Cloud Platform System, Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Multi-Cloud, HybridCloud, Marshalling, Togaf, Data Layers, Event Driven Architecture, Data Lakes, Information Technology, Data Lineage, Collibra, Deployment Automation, Data Analytics, Machine Learning Operations, Domain Driven Design, DODAF, Serverless Computing, Jenkins, Databricks, Programming Languages, Microservices - **Published:** September 11, 2026 - **Apply:** https://www.capgemini.com/jobs/549572-en_US_SAPBTP/x/ ## About the Role * Minimum of 16 years of experience in the IT industry. * Minimum of 6 years of dedicated experience acting in an Architect capacity. * Strong knowledge of standard industry architecture frameworks; valid certifications in TOGAF, IAF, NIST, Zachman, or DoDAF are highly expected. * Domain experience in one or more of the following industries is highly preferred: Manufacturing, Automotive, Life Sciences, Telecommunications, Media, Hi-Tech, or Energy & Utilities. * Bachelors, Master's degree or Ph.D. in Computer Science, Information Systems, Electronics and Communication, or similar fields of technology. Technical Skills & Competencies * Deep expertise in hands-on software development and presales across major cloud ecosystems (AWS, Azure, or Google Cloud). Advanced proficiency in cloud-native services and programming languages including Spark, Scala, and Java. Multiple cloud certifications are expected. * Deep expertise in building enterprise-scale AI solutions using AWS Bedrock, AWS SageMaker, Google Vertex AI, Azure ML, and OpenAI LLMs. Mastery of advanced paradigms including LLMOps/MLOps, prompt engineering, fine-tuning Large Language Models, Agent Mesh, RAG, Vector Databases, Chain-of-Thought, Context Engineering, and Agent/Loop Engineering. Hands-on experience with modern AI development tools (e.g., Cursor, Codex, Claude Code, Claude Cowork). * Proficient with cross-platform data environments such as Databricks and Snowflake. Experience of implementing hybrid cloud & multi-cloud architecture. * Advanced capability in database modeling and design for both relational systems and NoSQL databases. * Extensive experience designing microservices, event-driven architectures, and managing complex batch and streaming data flows. * Proven track record implementing data quality, data lineage, data observability, and data marshalling strategies. Preference for hands-on experience with enterprise data governance tools such as Informatica, Alation, Collibra, or Reltio. * Practical experience building semantic layers, data products, data sharing mechanisms, and usage metering within a Data Mesh framework. * Proven capability in migrating large-scale enterprise data and application platforms from on-premise to cloud or executing cloud-to-cloud hyperscaler migrations using a phased, agile approach. * Comprehensive understanding of infrastructure security, designing resilient/fault-tolerant environments, and executing FinOps automation to manage non-functional requirements (NFRs) like scalability and cost optimization. * Proficient in complex deployment automation, DataOps, DevOps, and CI/CD pipelines utilizing GitHub, GitHub Actions, Jenkins, etc., within high-performing Agile teams. ## Description Capgemini's Insights & Data global business line is seeking a visionary and highly accomplished Senior Architect at the Director level. In this role, you will champion technical excellence, design cutting-edge cloud and AI-driven architectures, and provide executive-level thought leadership. You will serve as a trusted advisor to our clients, bridging the gap between complex technical solutions and overarching business strategies., * Partner directly with Capgemini's enterprise clients as a Chief Enterprise Architect to lead complex, large-scale platform migrations, digital transformations, and modernization projects across Data, Analytics, and AI domains. * Design and deliver robust enterprise-scale blueprints, including Data Lake Medallion, event-driven, domain-driven, and modular microservices architectures. * Lead technical presales activities, author high-impact proposals, and engineer reusable IT frameworks, accelerators, and methodologies to drive business growth. * Serve as an enterprise advisor capable of stepping into high-stakes or critical projects to course-correct architectures, salvage delivery schedules, and mitigate risks. * Collaborate deeply with strategic partners (including AWS, Microsoft, Google, Snowflake, Databricks, and SAP) to showcase Capgemini's capabilities, representing the firm as a speaker at industry conferences and partner events. * Drive innovation in Cloud, Data Analytics, and AI domains by regularly publishing articles and maintaining a high-visibility profile within the global Enterprise Architecture community. * Establish technology visions and multi-year roadmaps. Manage executive stakeholder expectations, rationally challenge legacy delivery approaches, and cultivate an optimized, collaborative, and multicultural delivery team. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Next Level Enterprise Architecture: Modular, Flexible, Scalable, Multichannel and AI-Ready?](https://www.wearedevelopers.com/videos/1017-next-level-enterprise-architecture-modular-flexible-scalable-multichannel-and-ai-ready) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)