Senior Data Solutions Architect

Boeing • Tukwila, WA

1d • $184,450 - $249,550 • Onsite

About The Position

The Boeing Company is currently seeking a Senior Data Solutions Architect to join the Finance Systems and Analytics (FS&A) team in Tukwila, WA. The selected candidate will design, develop, and maintain advanced analytics solutions that deliver step-function business improvement. As the Data Engineering Subject Matter Expert (SME) on the Finance Analytics full‑stack Development team, you will partner with Base Data Architects to harmonize finance data sources and build the data foundation needed by Data Scientists and Business Intelligence (BI) Engineers to deliver analytics solutions across Finance.

Requirements

• 5+ years of experience developing data pipelines
• 1+ years of experience with Data Warehouses, data processing (Extract-Transform-Load/Extract-Load-Transform) and data management
• Experience in Python and/or R
• Experience with Linux and Bash
• Experience in a cloud computing environment e.g. Azure/Amazon Web Services (AWS)/Google Cloud
• Experience with application DevOps tools, such as GitLab (CI/CD), Git Bash, Gradle, Maven, Jenkins, and Artifactory
• Proficient in SQL programming and database management systems (e.g., Microsoft SQL Server, Oracle, MySQL, PostgreSQL)

Nice To Haves

• Bachelor’s Degree or higher in Computer Science, Engineering, Information Systems, or a related quantitative/technical field, or equivalent practical experience
• Experience with streaming and event-driven systems and real‑time ingestion patterns
• Experience with lakehouse technologies, object storage, and cloud native data services
• Familiarity with infrastructure such as code, automation tools and CI/CD for data infrastructure
• Experience with monitoring and observability for data systems (logging, metrics, alerting, lineage tools)
• Experience with security, privacy, and governance for sensitive financial data, including access controls, encryption, and SOX/compliance requirements
• Experience optimizing cost and performance for cloud data environments
• Experience in Finance domain (EVM, accounting, treasury, reconciliation, payments, FP&A) or working closely with Finance SMEs
• Ability to mentor and provide technical leadership across cross‑functional teams

Responsibilities

• Build and operate production data pipelines, Extract Transform Load (ETL)/Extract Load Transform (ELT) processes, and data platforms that support analytics and Machine Learning (ML) workloads
• Design, implement, and optimize reliable, scalable data architectures (data lakes, warehouses, lakehouses) and data modeling patterns for business consumption
• Build robust ingestion, transformation, and orchestration solutions using tools such as Spark, SQL, Airflow, Bash, or equivalents
• Possess domain knowledge in Finance (e.g., Earned Value Management (EVM), accounting, treasury, reconciliation, payments, Financial Planning and Analysis (FP&A)) or equivalent business-facing experience to partner effectively with Finance SMEs
• Ensure data quality, governance, lineage, and cataloging to support auditability and regulatory requirements (e.g., SOX)
• Implement security, privacy, and data protection best practices for sensitive financial data, including access controls and encryption
• Apply observability and monitoring best practices (logging, metrics, alerts) and use Continuous Integration and Continuous Delivery (CI/CD) for data infrastructure and pipeline deployments
• Work effectively in collaborative analytics environments using modern analytics practices (code reviews, feature branches, agile delivery) and provide technical leadership across cross-functional teams

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: Senior
• Education Level: No Education Listed