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The Boeing Company

Data Solution Architect

The Boeing Company, Everett, Washington, us, 98213

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Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes (BCA)

is looking for a

Data Solutions Architect

to join our

Global Supply Chain

team in

Puget Sound ,

WA! Position Responsibilities: Define the strategy for Building/Developing/Maintaining BCA Supply Chain Reporting Core architecture including ERPLN (incumbent system) and SAP S4 Hana (new system).

Creation of Supply Chain Reporting analytics consumption layer that ingests and integrates Supply Chain Data from both ERPLN and SAP to maintain business continuity for executive KPIs, working level dashboards, tools, applications, and other business reporting needs.

Be involved in SAP workshops to define the SC Reporting requirements for SAP.

Design, develop, maintain and optimize current Supply Chain Reporting infrastructure systems (Including on Prem SQL Db, data warehouses, and cloud lake house)

Guides other data and analytics professionals on data standards and practices

Work closely with supply chain business process experts to ensure data product attributes accurately represent business process outputs to drive actionable reporting and modeling insights.

Curate and document Supply Chain Master Data products/datasets utilizing Alation Data Catalog.

Develop and own BCA Supply Chain Reporting Core plan for sharing, reuse, and efficiency of data solutions

Build repeatable data pipeline strategy across multi environments, leverage automation to make sure ETL solutions are repeatable and scalable

Basic Qualifications (Required Skills/Experience): 7+ years data engineering experience

Strong knowledge of data integration and ETL processes, with experience in designing and implementing efficient data pipelines.

Proficiency in system architecture design, including selecting appropriate database technologies, data warehousing solutions, and distributed computing frameworks.

Familiarity with AI concepts and algorithms, with the ability to collaborate with data scientists in implementing AI models and integrating them into data systems.

Strong problem-solving and troubleshooting skills, with the ability to monitor and optimize the performance of data systems, ensuring data quality, integrity, and security.

Experience in Cloud technologies such as AWS and Azure

Preferred Qualifications: Bachelor's degree in Mathematics, Computer Science, or a related field.

10+ years data engineering experience

10-15+ years data engineering experience and transforming internal businesses through automation and other technologies.

Aviation Industry Experience Strongly Preferred.

Experience supporting Supply Chain teams including data sets and architecture to enable solutions and reporting in the Supply Chain domain.

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. Shift: This position is primarily on 1st shift but must have flexibility to work alternative shifts. Salary Range: $120,000-$141,000

Applications for this position will be accepted until

Oct. 12, 2025

Export Control Requirements:

This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Relocation Relocation assistance is not a negotiable benefit for this position. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift

Equal Opportunity Employer: 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.

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