At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
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
Conflict Of Interest:Successful Candidates for this job must satisfy the Company's Conflict Of Interest (COI) assessment process.
Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary Pay Range: $172,550 - $249,550
Applications for this position will be accepted until Nov. 04, 2026
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
#BI-Hybrid
Skills Required
- 10+ years of experience in data architecture focused on data platforms and technologies
- 5+ years designing and implementing scalable computing infrastructure for data solutions, including AWS, Azure, or Google Cloud architectures
- 5+ years working with Apache Spark or Databricks
- 5+ years building reusable, self-service cloud and data architecture frameworks
- 5+ years in data security, governance, and compliance, including encryption, role-based access, metadata management, and regulatory alignment
- 5+ years modernizing legacy technology to cloud-native architectures and refactoring monoliths to microservices
- 3+ years in cloud economics, FinOps, or IT compliance
- 3+ years designing solutions using machine learning, generative AI, agentic AI, deep learning, or optimization techniques
- Bachelor of Science or greater in engineering, computer science, mathematics, physics, chemistry, or another technical discipline
- 5+ years of experience in manufacturing or aviation and aerospace
- 3+ years developing enterprise data ontologies and semantic models
- 3+ years building containerized and serverless architectures using Docker, Kubernetes, AWS Lambda, or Azure Functions
- 2+ years implementing self-service analytics platforms using modern BI tools and APIs
- 3+ years in data science, statistics, machine learning, and generative AI
- 3+ years in application integration, APIs, and microservices
Boeing Compensation & Benefits Highlights
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Retirement Support — Retirement benefits are often highlighted as a standout, featuring a notably generous company match with immediate vesting and options that can credit qualified student‑loan payments toward matching. External recognition and contract enhancements further underscore the strength of this area.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, disability, life insurance, and mental‑health resources, with virtual care and HSA options in some plans. Descriptions also point to affordability features and access to specialized support programs.
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Parental & Family Support — Family supports include paid parental leave, adoption and surrogacy assistance, fertility benefits, and backup child and elder care resources. Coaching and related programs are available to help navigate family transitions.
Boeing Insights
What We Do
A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity.
Why Work With Us
Aerospace protects and connects people, enables economic growth and trade, provides humanitarian relief and allows for human exploration of space. Boeing collaborates globally to support responsible growth for our industry, and we invest in innovation that improves the efficiency and sustainability of air travel and our operations.
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