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At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is currently seeking a Senior DataSolutions 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.
Job Responsibility
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
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 have
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
What we offer
Generous company match to your 401(k)
Industry-leading tuition assistance program pays your institution directly
Fertility, adoption, and surrogacy benefits
Up to $10,000 gift match when you support your favorite nonprofit organizations