Senior Data Solution Architect

Boeing • San Antonio, TX

4d • $172,550 - $217,000 • Hybrid

About The Position

Boeing Global Services (BGS) is looking for a Senior Data Solution Architect to join our team at one of the following locations: Seattle, WA, Auburn, WA, Everett, WA, Jacksonville, FL or San Antonio, TX. We seek a highly motivated individual with a passion for building large-scale data products and solving complex problems and challenges.

Requirements

• 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)

Nice To Haves

• 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

Responsibilities

• 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 scientists
• Define and implement data ingestion strategies (batch, streaming), 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 warehouses, 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, reuse, design for scale stability, and operational efficiency of data and analytics solutions
• Leverage automation extensively for scalability, repeatability, and reuse

Benefits

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

What This Job Offers

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