Mid-Level Data Solution Architect

Boeing • Renton, WA

1d

About The Position

The Boeing Company is looking for a highly experienced and detail-oriented Mid-Level Data Solution Architect to join the team in Seattle, WA; Everett, WA; Renton, WA; Tukwila, WA; Dallas, TX; Mesa, AZ; Long Beach, CA; Chicago, IL; Ridley Park, PA; Berkeley, MO; Hazelwood, MO; or North Charleston, SC. 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

• 3+ years of experience building platforms and data products
• 1+ years of experience working with data and data warehousing business solutions
• 1+ years of 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

• A Bachelor of Science or higher from an accredited institution in Software Engineering, Computer Science, Computer Engineering or other technical degree
• 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 multiple, complex databases / data warehouses required to operate the business
• Oversees completion of data modelling for acquisition and database implementation collaborating with different stakeholders
• Applies data extraction, transformation and loading techniques to connect large data sets from a variety of sources
• Guides the creation of data collection frameworks for structured and unstructured data and solves highly complex data problems to generate features required by data scientists
• Develops and maintains highly complex infrastructure systems (e.g., data warehouses, data lakes) including data access APIs
• Reviews analysis and management of complex data
• Provides consultation to other data and analytics professionals on data standards and practices
• Fosters a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
• Oversees build of repeatable data pipelines across multi- and hybrid-cloud environments of high complexity
• Provides consultation on leveraging Automation & CI/CD extensively for scalability, repeatability, and reuse

Benefits

• health insurance
• flexible spending accounts
• health savings accounts
• retirement savings plans
• life and disability insurance programs
• paid and unpaid time away from work

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level