Data Solution Architect — AI for Manufacturing

Boeing; Everett (WA); On-site; USD 126,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Paid time off

Job summary

Boeing is seeking an Experienced Data Solution Architect to join the Production AI & Digital Strategy team in Everett, WA on First Shift. You will lead the design and deployment of data architectures, pipelines, and APIs to support AI-driven production initiatives, collaborating with data scientists and cross-functional stakeholders.

The role emphasizes data modeling, ETL, cloud integration, and stakeholder collaboration, with a focus on scalable, secure data platforms across the enterprise.

Qualifications

• 5+ years 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 with SQL knowledge.
• Data Modeling to translate business requirements into scalable data models.

Responsibilities

• Lead cross-functional projects to design, develop, and optimize data architecture for data warehouses.
• Model data for acquisition and implementation with stakeholders.
• Develop ETL processes to connect large, complex data sets from multiple sources.
• Lead data pipelines across multi- and hybrid-cloud environments and create scalable data solutions.
• Guide data standards and practices to support analytics and operational needs.

Skills

SQL

Data Modeling

Python

ETL

Data Analytics

Cloud Computing

GitLab

Stakeholder communication

Education

Bachelor’s degree in related field

Tools

GitLab

AWS

Job description

Boeing is seeking an Experienced Data Solution Architect to join the Production AI & Digital Strategy team in Everett, WA on First Shift. You will lead the design and deployment of data architectures, pipelines, and APIs to support AI-driven production initiatives, collaborating with data scientists and cross-functional stakeholders.

The role emphasizes data modeling, ETL, cloud integration, and stakeholder collaboration, with a focus on scalable, secure data platforms across the enterprise.