Data Solution Architect

Boeing • Everett, WA

2d • Onsite

About The Position

The Boeing Company is seeking an Experienced Data Solution Architect to join the Production AI & Digital Strategy team within the Manufacturing & Safety organization in Everett, Washington. This role is for an 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
• Core foundational skill in 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): Fundamental to how our team moves and integrates data. The architect should be 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.
• Must satisfy the company's Conflict of Interest (COI) assessment process.
• 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.

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

Responsibilities

• Lead and facilitate the development, integration, and execution of strategic business programs, plans, and projects supporting AI-driven production initiatives.
• Lead cross-functional projects to design, develop, maintain, and optimize internal company data architecture for complex databases/data warehouses required to operate the business.
• Complete data modeling for acquisition and database implementation, collaborating with different stakeholders.
• Apply data extraction, transformation, and loading techniques to connect large and complex data sets from a variety of sources.
• Lead the creation of data collection frameworks for structured and unstructured data.
• Solve 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.
• Create a culture of sharing, reuse, design for scale, stability, and operational efficiency of data and analytics solutions.
• Lead the 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 and unpaid time away from work

What This Job Offers

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