Data Solution Architect

Boeing • Everett, WA

1d • $125,800 - $170,200 • Onsite

About The Position

The Boeing Company, Commercial Airplanes (BCA) is seeking an Experienced Data Solution Architect to work in the Production AI & Digital Strategy team within the Manufacturing & Safety organization based in Everett, Washington on First Shift. This role requires a highly skilled individual contributor who will lead and facilitate the development, integration, and execution of strategic business programs, plans and projects supporting AI-driven production initiatives.

Requirements

• 5+ years of experience working in a Data Solution Architect role within a manufacturing or automotive environment
• 5+ years of experience with data analytics and integration
• 5+ years of experience of SQL knowledge
• Data Modeling - Ability to translate business requirements into clear, scalable, and industry-standard data models that support analytics and operational needs

Nice To Haves

• Bachelor’s degree in a directly related field (such as technology, engineering, supply chain, or Data Science) or possess an equivalent combination of relevant education and experience
• Experience communicating and presenting to senior leadership
• Experience working with customers in a manufacturing environment
• SQL: The architect should be able to design tables for both analytics and applications, and optimize slow or complex queries
• Python: Primary programming language for building APIs, ETL pipelines, and data-driven applications. Strong proficiency is essential
• ETL (Extract, Transform, Load): Experienced in designing and maintaining robust ETL processes
• Data Modeling: Ability to translate business requirements into clear, scalable, and industry-standard data models that support analytics and operational needs
• Cloud Experience: Basic familiarity with at least one major cloud platform (e.g., AWS - preferred) is sufficient, with familiarity in core data and compute services
• GitLab: Hands-on experience with Git-based version control and GitLab workflows (branching, merge requests, CI/CD) as part of their daily development practice

Responsibilities

• Lead cross-functional projects to design, develop, maintain and optimize internal company data architecture for complex databases / data warehouse required to operate the business.
• Complete data modelling for acquisition and database implementation collaborating with different stakeholders.
• Apply data extraction, transformation and loading techniques in order to connect large and complex data sets from a variety of sources.
• Lead creation of data collection frameworks for structured and unstructured data and solves complex data problems to generate features required by data scientists.
• Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access APIs.
• Analyze and manage complex data.
• Guide other data and analytics professionals on data standards and practices while creating a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions.
• Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments.
• Leverage Artificial Intelligence, Automation & CI/CD extensively for scalability, repeatability, and reuse.

Benefits

• competitive base pay
• variable compensation opportunities
• health insurance
• flexible spending accounts
• health savings accounts
• retirement savings plans
• life and disability insurance programs
• paid time away from work
• unpaid time away from work

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree