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# Senior Cloud Solution Architect

- **Company:** Boeing Company
- **Location:** Miami, FL, United States
- **Experience:** Expert
- **Salary:** $172,550.0 - $249,550.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Application Integration Architecture, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Architecture, Data Security, Data Systems, Machine Learning, Meta-Data Management, Systems Development Life Cycle, Google Cloud, Cloud Platform System, Apache Spark, Deep Learning, Generative AI, AWS Lambda, Agentic-AI, Kubernetes, Information Technology, Data Management, Domain Driven Design, Code Restructuring, Serverless Computing, Docker, Databricks, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-cloud-solution-architect-miami-fl--b03da347-52a5-4afc-ae52-66e761073f9d

## About the Role

Cloud Architecture, Cloud Architecture, Cloud Computing, Amazon Web Services (AWS), Cross-Functional, Architectural Services, Artificial Intelligence (AI), Analytics Cloud, Data Analysis, Scalable System Development, * 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

Conflict Of Interest:

Successful Candidates for this job must satisfy the Company's Conflict Of Interest (COI) assessment process.

## Description

* 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