Associate Data Solutions Architect

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.
The Boeing Company is currently seeking an Associate Data Solutions Architect to join the team in Seattle, WA; Hazelwood, MO; Berkeley, MO; or Dallas, TX.
The Data Solutions Architect will help design, build, and operate data pipelines and workloads across on-prem and cloud platforms (Google Cloud Platform (GCP) and Amazon Web Services (AWS)). The role partners with data and Business Intelligence (BI) analysts, data scientists, product specialists, and platform engineers to enable reliable, scalable ingestion, transformation, and serving of data for analytics and Artificial Intelligence (AI) use cases in supply chain.
Position Responsibilities:

• Implement, test, and maintain Extract, Transform, Load/Extract, Load Transform (ETL/ELT) pipelines to ingest data from on-prem systems and cloud sources into data lakes/warehouses
• Develop data transformations and data models to support reporting, analytics, and Machine Learning (ML) workloads
• Build and maintain batch and streaming data workflows using orchestration tools (Airflow, Cloud Composer, Prefect, etc.) and data integration platforms (Informatica, Talend, Fivetran, etc.)
• Work with on-prem technologies (databases, file shares, middleware) and cloud services (BigQuery, Redshift, Cloud Storage, S3, Dataflow, Glue) to move and transform data
• Collaborate with data owners to profile data, identify quality issues, and implement data validation and cleansing rules
• Design and implement data cataloging, lineage, and basic governance controls for datasets
• Monitor pipeline health, troubleshoot failures, and implement alerts and automated retries
• Contribute to Continuous Integration and Continuous Delivery (CI/CD) for data pipelines and infrastructure-as-code patterns (Terraform, Cloud Deployment Manager, etc.)
• Produce clear technical documentation and runbooks for operational support and handoffs
• Support production handover, incident response, and post-incident retrospectives

Basic Qualifications (Required Skills/Experience):

• 1+ years of experience building data pipelines, ETL/ELT processes, and/or data engineering tasks
• 1+ years of experience with SQL
• Experience designing queries and data models for analytics
• Experience with scripting languages (Python or R programming) for data processing and automation
• Experience with orchestration tools (Airflow, Prefect, Cloud Composer)
• Experience with relational databases (Oracle, SQL Server, Postgres)
• Experience with cloud data service (BigQuery, Redshift, Snowflake, and/or equivalent)
• Experience with data quality, basic data governance, and logging/monitoring concepts

Preferred Qualifications (Desired Skills/Experience):

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field and/or equivalent experience
• 3+ years of experience with data engineering across on-prem and cloud environments
• Experience with troubleshooting skills with a collaborative mindset
• Experience with good written and verbal communication skills
• Experience with cloud platforms GCP and/or AWS (BigQuery, Cloud Storage, Dataflow, Pub/Sub, DataProc, S3, Redshift, Glue, Lambda)
• Experience building streaming and/or near-real-time pipelines (Kafka, Pub/Sub, Kinesis, Spark Streaming)
• Experience building ETL data pipelines (Informatica, Talend, Fivetran, etc.)
• Experience with infrastructure-as-code tooling (Terraform, CloudFormation) and CI/CD practices for data workflows
• Experience implementing data cataloging/lineage tools (Data Catalog, Amundsen, Collibra, Alation) and data quality frameworks (Great Expectations, AWS Glue Data Quality)
• Experience with containerization (Docker) and deploying microservices and/or data jobs on Kubernetes
• Experience tuning for SQL and data processing jobs for cost-optimization on cloud platforms
• Experience working in supply chain, manufacturing, and/or within aerospace environments

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.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $95,200 - $138,000
Applications for this position will be accepted until Jun. 15, 2026
Export Control Requirements:
This position 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.
Export Control Details:
US based job, US Person required
Relocation
This position offers relocation based on candidate eligibility.
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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