Senior Cloud Solution Architect

The Boeing Company is currently seeking a Senior Cloud Solutions Architect to join the team in Seattle, WA; Arlington, VA; Auburn, WA; Berkeley, MO; Chicago, IL; Colorado Springs, CO; El Segundo, CA; Englewood, CO; Everett, WA; Hazelwood, MO; Houston, TX; Huntington Beach, CA; Huntsville, AL; Kent, WA; Long Beach, CA; Mesa, AZ; Miami, FL; North Charleston, SC; Plano, TX; Portland, OR; Renton, WA; Ridley Park, PA; Saint Charles, MO; San Antonio, TX; Seal Beach, CA; Titusville, FL; or Tukwila, WA. 

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.

Position Responsibilities:

• 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

Basic Qualifications (Required Skills/Experience):

• 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

Preferred Qualifications (Desired Skills/Experience):

• 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

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• Right to Work (English)
• Right to Work (Spanish)