Senior Cloud Solution Architect

Boeing • Saint Charles, MO

4d • $172,550 - $249,550

About The Position

The Boeing Company is seeking a Senior Cloud Solution Architect to lead the design and implementation of data, artificial intelligence, and cloud architecture solutions. The role collaborates with cross-functional teams to understand business needs and translate them into reliable solution designs, then leads the delivery of scalable, secure, and cost-effective solutions. It requires deep knowledge of cloud technologies, particularly AWS, and experience developing repeatable 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 successful candidate must satisfy Boeing’s Conflict of Interest assessment process and U.S. export control requirements; a U.S. Person as defined by 22 C.F.R. §120.62 is required. The role does not require a security clearance and is not safety sensitive. Boeing will not sponsor employment visas. The position is not contingent upon a program award. Shift 1 (United States of America). Relocation assistance is not negotiable. Post-offer applicants and employees may be subject to drug and alcohol testing when policy criteria are met.

Requirements

• 10 or more years of experience in data architecture focused on data platforms and technologies.
• 5 or more years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures such as AWS, Azure, or Google Cloud.
• 5 or more years of experience working with Apache Spark or Databricks.
• 5 or more years of experience building repeatable, reusable, self-service cloud and data architecture frameworks that enable autonomous deployment of scalable, compliant solutions.
• 5 or more 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 or more years of experience modernizing legacy technology to cloud-native systems and refactoring monoliths to microservices using approaches such as domain-driven design, event storming, strangler fig, and transitional architectures.
• 3 or more years of experience in cloud economics, FinOps, or IT compliance roles.
• 3 or more 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.
• Must meet U.S. export control compliance requirements as a U.S. Person.
• Must satisfy the company’s Conflict of Interest assessment process.

Nice To Haves

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

Responsibilities

• Lead and execute strategy for highly reliable, scalable data and analytics cloud platforms that meet business requirements.
• Lead the creation and implementation of repeatable, reusable frameworks for delivering data and AI solutions.
• Establish architecture best practices, standards, and guidelines and ensure organizational adherence.
• Lead the design and implementation of self-service frameworks that enable business units to develop solutions in compliance with enterprise standards.
• Develop cloud economics frameworks to monitor and analyze costs and support informed financial decisions.
• Develop hands-on proofs of concept and minimum viable products to address capability needs and facilitate decision-making.
• Own communications 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 current 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 paid and unpaid time away from work. Availability varies by eligibility factors.
• Relocation assistance is not a negotiable benefit for this position.

What This Job Offers

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