Associate Data Solutions Architect at Boeing in Seattle, WA

Summary: Boeing is a leading aerospace company committed to innovation and collaboration. They are seeking an Associate Data Solutions Architect to design and optimize internal data architecture, collaborate with stakeholders for data modeling, and lead the creation of data collection frameworks for complex data problems. Responsibilities: - Designs, develops, maintains and optimizes internal company data architecture for complex databases/data warehouse required to operate the business - Completes data modelling for acquisition and database implementation collaborating with different stakeholders - Applies data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources - Leads the creation of data collection frameworks for structured and unstructured data and solves complex data problems to generate features required by data scientists - Leads activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs) - Analyzes and manages complex data - Guides other data and analytics professionals on data standards and practices - Creates a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions - Leads build of repeatable data pipelines across complex multi- and hybrid-cloud environments - Leverages Automation extensively for scalability, repeatability, and reuse Required Qualifications: - 1+ years of experience building platforms and data products - 1+ years of experience working with data and data warehousing business solutions - Experience with cloud-platform technologies (AWS, Azure, GCP) - Experience with data pipeline tools and Extract Transform Load (ETL) services - Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion - Experience with Artificial Intelligence (AI) hardware and software integration - Experience with C++, Python and Java Preferred Qualifications: - Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling - Experience with Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Windows Server - Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure - Experience with Cloud technologies and/or Cloud-native app development and microservices Required Skills: Data architecture, Data warehousing, Cloud-platform technologies, Data pipeline tools Important Skills: ETL services, APIs configuration, AI integration, C++, Python, Java, DevOps practices Nice-to-Have Skills: CI/CD methodologies, Azure DevOps, Cloud-native app development Benefits: Health insurance, Flexible spending accounts, Health savings accounts, Retirement savings plans, Life and disability insurance programs, Programs that provide for both paid and unpaid time away from work