Senior Cloud Solution Architect

Boeing is hiring a Senior Cloud Solution Architect in Seattle, United States. It pays $173k-$250k a year and Level rates it ; you can apply on Boeing.

Level's read on this job

Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
The listed pay starts close to the typical solutions architect posting on Level.
Tools and skills the posting cites include Databricks, AWS and Cloud Platforms.
Level lists 824 other open roles at Boeing.
The role was posted within the past week.

AI in this role

Lead the design and implementation of cloud, data, and AI architectures to support scalable enterprise solutions.

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Senior Cloud Solution Architect

Company:

The Boeing Company

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

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

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.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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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.

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Right to Work Statement

How we rate this

Senior Cloud Solution Architect at Boeing rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Cloud Solution Architect is an open job at Boeing.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $173k-$250k a year.
The role is based in USA - Seattle, WA.
The job was posted on October 20, 2026.
Seniority: senior.
Applications are handled by Boeing. Apply on Boeing

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud ArchitectureData PlatformsArtificial IntelligenceEnterprise ArchitectureDatabricksAWSCloud Platforms

Also common in solutions architect jobs at this level

Python LLM SQL AI agents RAG Java

Pay

This job starts at: $173k
Typical solutions architect job: $168k

This posting starts close to the typical solutions architect job. See solutions architect jobs

Questions you could be asked

Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where data platforms was part of your work. What did you do?
Tell me about a project where artificial intelligence was part of your work. What did you do?
Tell me about a project where enterprise architecture was part of your work. What did you do?
Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Cloud Architecture, Data Platforms, Artificial Intelligence, Enterprise Architecture, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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