Senior Cloud Solution Architect

Boeing • Seattle, WA

2d

About The Position

The Boeing Company is seeking an experienced Cloud Solution Architect to lead the design and implementation of data, AI, and cloud architecture solutions. The role partners with cross-functional teams to understand business requirements and translate them into reliable, scalable, secure, and cost-effective solution designs, with a particular focus on AWS and reusable architectural frameworks. The position may be based in Seattle, Arlington, Auburn, Berkeley, Chicago, Colorado Springs, El Segundo, Englewood, Everett, Hazelwood, Houston, Huntington Beach, Huntsville, Kent, Long Beach, Mesa, Miami, North Charleston, Plano, Portland, Renton, Ridley Park, Saint Charles, San Antonio, Seal Beach, Titusville, or Tukwila.

The architect will advance Boeing’s cloud and data strategy by developing platforms, standards, self-service frameworks, and cloud economics practices. The role also involves creating hands-on proofs of concept and minimum viable products, coordinating project communications and stakeholder reviews, working with vendors and partners, and staying current with cloud and data architecture technologies.

Requirements

• 10+ years of experience in data architecture relating specifically to data platforms and technologies.
• 5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures such as AWS, Azure, or 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 that enable autonomous deployment of scalable and compliant solutions.
• 5+ years of experience in data security, governance, and compliance, including encryption, role-based access, metadata management, and regulatory alignment such as FedRAMP, NIST, and GDPR.
• 5+ years of experience modernizing legacy technology to cloud-native architectures and refactoring monoliths to microservices using techniques such as domain-driven design, event storming, strangler fig, and transitional architectures.
• 3+ years of experience in cloud economics, FinOps, or IT compliance roles.
• 3+ years of experience designing solutions using machine learning, generative AI, agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case.
• Successful candidates must satisfy Boeing’s Conflict of Interest assessment process.
• Must meet U.S. export control compliance requirements as a U.S. Person.
• The employer will not sponsor applicants for employment visa status.

Nice To Haves

• Bachelor of Science or higher from an accredited course of study in engineering, computer science, mathematics, physics, chemistry, or another technical field.
• 5+ years of experience in manufacturing, aviation, or aerospace.
• 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, including Docker, Kubernetes, AWS Lambda, or Azure Functions, for scalable event-driven workloads.
• 2+ years of experience implementing self-service analytics platforms using modern BI tools and APIs to provide business users governed access to trusted data.
• 3+ years of experience in data science, statistics, machine learning, and generative AI.
• 3+ years of experience in application integration, APIs, and microservices.

Responsibilities

• Lead and execute strategies for highly reliable, scalable data and analytics cloud platforms that meet business requirements.
• Create and implement repeatable, reusable frameworks for delivering data and AI solutions.
• Establish architecture best practices, standards, and guidelines and promote organizational adherence.
• Design and implement self-service frameworks that enable business units to develop solutions in compliance with enterprise standards.
• Develop cloud economics frameworks to monitor and analyze cloud costs and support financial decision-making.
• Develop hands-on proofs of concept and minimum viable products to address capability needs and support decision-making.
• Own communication and collaboration for assigned projects, including stakeholder review meetings, cross-team alignment, and technical research studies.
• Establish working relationships with technology and consulting vendors, partners, and cross-functional teams, and hold them accountable.
• Stay up to date with trends and best practices in cloud and data architecture tools and technologies.

Benefits

• Competitive base pay and variable compensation opportunities.
• Eligible employees may enroll in health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and programs providing paid and unpaid time away from work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed