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# Senior Data Solution Architect

- **Company:** Boeing Company
- **Location:** San Antonio, TX, United States
- **Experience:** Expert
- **Salary:** $172,550.0 - $217,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Computing, Cloud Foundry, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, Python (Programming Language), SQL Databases, Data Ingestion, Fastapi, Data Lakes, Tanzu, Information Technology, Data Pipelines, Devsecops
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a5f64fac75f12ed6

## About the Role

Do you have experience in Implementing APIs?, Do you have a Bachelor's degree?, 8+ years of experience in data architecture, data engineering, or related role

 * s 5+ years of experience building platforms and data product
 * s 5+ years of experience working with data and data warehousing business solution
 * s 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) service
 * s 3+ years of experience with cloud-platform technologies (AWS preferred
 * ) 3+ years of experience with the configuration of Application Programming Interfaces (APIs) for data ingestion (FastAPI preferred
 * )

Preferred Qualifications (Desired Skills/Experience):
Bachelor's or higher in Computer Science, Information Technology, or related fiel

 * d

Experience with DevOps/DevSecOps and CI/CD practices, methodologies and toolin

 * g Experience with Azure DevOps (ADO) and GI
 * T Experience with PCF (Pivotal Cloud Foundry)/Tanzu and Amazon Web Service
 * s Experience with Python, JavaScript, & multiple SQL language
 * s, 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.

## Description

Design, develop, maintain, and optimize scalable databases across a variety of data domains (KPIs, manufacturing, project / program management, Safety / Quality, risk management, & business operations

 * ) Problem solve for structured and unstructured complex data problems to support a team of data analysts and data scientist
 * s Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for a multitude of disparate data source
 * s Complete data modeling for acquisition and database implementation collaborating with different stakeholder
 * s Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs
 * ) Guide other data and analytics professionals on data standards and practice
 * s Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solution
 * s Leverage automation extensively for scalability, repeatability, and reus
 * e


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