Senior Cloud Data & AI Architect

Boeing; Seattle (WA); On-site; USD 173,000 - 250,000; Full time

Job summary

The Boeing Company is seeking a Senior Cloud Solutions Architect to lead data, AI, and cloud architecture initiatives across our Seattle and national footprint. You will design scalable, secure, and cost-efficient solutions and partner with cross-functional teams.

Ideal candidates bring 10+ years in data architecture, 5+ years in cloud infra, and deep experience with Spark, ML/GenAI, and cloud economics to drive standards, governance and reusable frameworks.

Qualifications

• 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

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

Skills

Data architecture

Cloud architectures (AWS/Azure/GCP)

Apache Spark / Databricks

Self-service data frameworks

Data security & governance

Modernizing to microservices

Cloud economics / FinOps

Machine Learning / GenAI

APIs & microservices

DDD / event storming

Education

Bachelor’s degree in Engineering/CS

Tools

Docker

Kubernetes

AWS Lambda

Azure Functions

Job description

The Boeing Company is seeking a Senior Cloud Solutions Architect to lead data, AI, and cloud architecture initiatives across our Seattle and national footprint. You will design scalable, secure, and cost-efficient solutions and partner with cross-functional teams.

Ideal candidates bring 10+ years in data architecture, 5+ years in cloud infra, and deep experience with Spark, ML/GenAI, and cloud economics to drive standards, governance and reusable frameworks.