The Boeing Company
SeniorDataSolutionArchitect
“Senior Data Solution Architect at The Boeing Company. Skills: Data Solution Architecture, Data Engineering, Cloud Platforms (AWS preferred), Data Warehousing, Data Lakes, ETL/ELT, Data Modeling, APIs. 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 an”
Industry & Context.
solving complex problems and challenges; Problem solve for structured and unstructured complex data problems
U. S. Person as defined by 22 C. F. R. §120.62 is required, This position must meet U. S. export control compliance requirements.
What They're Looking For.
Must Have
8+ years of experience in data architecture, data engineering, or related roles, 5+ years of experience building platforms and data products, 5+ years of experience working with data and data warehousing business solutions, 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services, 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), U. S. Person as defined by 22 C. F. R. §120.62 is required
Nice to Have
Bachelor’s or higher in Computer Science, Information Technology, or related field, Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling, Experience with Azure DevOps (ADO) and GIT, Experience with PCF (Pivotal Cloud Foundry)/Tanzu and Amazon Web Services, Experience with Python, JavaScript, & multiple SQL languages
What You'll Do.
and optimize scalable databases across a variety of data domains (KPIs
project / program management
& business operations)
Problem solve for structured and unstructured complex data problems to support a team of data analysts and data scientists
Define and implement data ingestion strategies (batch
transformation patterns (ELT/ETL)
and orchestration for a multitude of disparate data sources
Complete data modeling for acquisition and database implementation collaborating with different stakeholders
Lead activities to develop and maintain complex infrastructure systems (e.g.
data lakes) including data access Application Programming Interfaces (APIs)
Guide other data and analytics professionals on data standards and practices
Create a culture of sharing
design for scale stability
and operational efficiency of data and analytics solutions
Leverage automation extensively for scalability
How You'll Work.
Team & Collaboration
support a team of data analysts and data scientists; collaborating with different stakeholders; Guide other data and analytics professionals
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