Job description

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) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning 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. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Requirements

Must-haves

Senior Cloud Solution Architect
The Boeing Company
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)
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
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

Nice-to-haves

Preferred Qualifications (Desired Skills/Experience):

Application prep

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Keywords to mirror

aiawsazuremachine learningmldockerkubernetes

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Health Insurance