Associate Data Solutions Architect

Boeing • Saint Charles, MO

1d

About The Position

The Boeing Company is looking for a highly experienced and detail-oriented Associate Data Solutions Architect to join the team in Seattle, WA; Arlington, VA; Auburn, WA; Berkeley, MO; Chicago, IL; Colorado Springs, CO; El Segundo, CA; Englewood, CO; Everett, WA; Hazelwood, MO; Houston, TX; Huntington Beach, CA; Huntsville, AL; Kent, WA; Long Beach, CA; Mesa, AZ; Miami, FL; North Charleston, SC; Oklahoma City, OK; Plano, TX; Portland, OR; Renton, WA; Ridley Park, PA; Saint Charles, MO; San Antonio, TX; Seal Beach, CA; Titusville, FL; or Tukwila, WA. The Data Solution Architect is a highly motivated individual with a strong passion for solving complex problems and challenges. They are driven and will have a passion for building large-scale software systems.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed