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# Senior Cloud Solution Architect

- **Company:** Boeing Company
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Application Integration Architecture, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Architecture, Data Security, Data Systems, Machine Learning, Meta-Data Management, Google Cloud, Cloud Platform System, Apache Spark, Deep Learning, Generative AI, AWS Lambda, Agentic-AI, Data Strategy, Kubernetes, Information Technology, Data Analytics, Data Management, Domain Driven Design, Code Restructuring, Serverless Computing, Docker, Databricks, Microservices
- **Published:** November 9, 2026
- **Apply:** https://www.juju.com/job/28_25303_6a91a264380890253ee19c5b4ddf0b8c

## About the Role

* 10+ years of experience in Data Architecture relating specifically to Data platforms and technologies
 * 5+ years of experience in designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
 * 5+ years of experience working with Apache Spark or Databricks
 * 5+ years of experience building repeatable, reusable, and self-service cloud and data architecture frameworks, enabling teams to deploy scalable and compliant solutions autonomously
 * 5+ years of experience in data security, governance, and compliance, including encryption, role-based access, metadata management, and regulatory alignment (FedRAMP, NIST, GDPR)
 * 5+ years of experience modernizing legacy technology to cloud native, refactoring monoliths to microservices using refactoring techniques such as domain driven design (DDD), event storming, strangler fig, transitional architectures, etc
 * 3+ years of experience in cloud economics, FinOps, or IT compliance roles
 * 3+ years of experience designing solutions using Machine Learning (ML), Generative Artificial Intelligence (AI), Agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case, * Bachelor of Science (or greater) from an accredited course of study, in engineering, computer science, mathematics, physics, or chemistry, or other technical degree
 * 5+ years of experience in the manufacturing domain, Aviation & Aerospace industries
 * 3+ years of experience developing enterprise data ontologies and semantic models to support analytics, AI/ML, and business taxonomy standardization
 * 3+ years of experience building containerized and serverless architectures (Docker, Kubernetes, AWS Lambda, Azure Functions) for scalable, event-driven workloads
 * 2+ years of experience implementing self-service analytics platforms using modern BI tools and APIs that empower business users with governed access to trusted data
 * 3+ years of experience in Data Science, Statistics, Machine Learning and GenAI
 * 3+ years of experience in application integration, APIs and Microservices

## Description

We are looking for a talented and experienced Cloud Solution Architect to join our dynamic team. The ideal candidate will play a pivotal role in leading, designing and implementing innovative data, Artificial Intelligence (AI) and cloud architecture solutions that empower our organization to make informed, data-driven decisions. As a Cloud Solution Architect, you will collaborate closely with cross-functional teams to thoroughly understand business requirements and translate them into high reliable solution designs. You will then lead highly scalable, secure, and cost-effective solutions tailored to address specific business challenges. This role demands a deep understanding of cloud technologies, particularly AWS, along with a proven track record in developing repeatable and reusable architectural frameworks. Join us in shaping the future of our cloud and data strategy., * Lead and execute the strategy to build highly reliable and scalable data and analytics cloud platforms to ensure the business requirements are met

 * Lead the creation and implementation of repeatable and reusable frameworks for delivering Data and artificial intelligence (AI) solutions
 * Establish architecture best practices, along with comprehensive standards and guidelines, to ensure adherence across the organization
 * Lead, design and implement Self-Service frameworks that empower business units to develop solutions in compliance with enterprise standards, promoting autonomy and innovation
 * Develop Cloud economics frameworks that effectively monitor and analyze cloud costs at every level, driving informed financial decision-making
 * Develop advanced hands-on Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to address critical capability needs, facilitating effective decision-making processes
 * Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings, cross team alignments and technical research studies
 * Establish working relationship with vendors (Technology and Consulting), partners and cross teams and holding them accountable
 * Stay up to date with the latest trends and best practices in Cloud and Data architecture tools and technologies