Senior Data Solutions Architect

Position Overview

Senior Data Solutions Architect – Finance Systems and Analytics (FS&A) team – The Boeing Company – Tukwila, Washington.

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.

• Build and operate production data pipelines, Extract‑Transform‑Load (ETL)/Extract‑Load‑Transform (ELT) processes, and data platforms that support analytics and machine learning workloads.
• Design, implement, and optimize reliable, scalable data architectures (data lakes, warehouses, lake houses) and data modeling patterns for business consumption.
• Build robust ingestion, transformation, and orchestration solutions using tools such as Apache 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.
• 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.

• 5+ years of experience developing data pipelines.
• 1+ years of experience with data warehouses, data processing (ETL/ELT), and data management.
• Experience in Python and/or R.
• Experience with Linux and Bash.
• Experience in a cloud computing environment (Azure, Amazon Web Services (AWS), or Google Cloud).
• Experience with application Dev Ops tools such as Git Lab CI/CD, Git Bash, Gradle, Maven, Jenkins, and Artifactory.
• Proficient in SQL programming and database management systems (Microsoft SQL Server, Oracle, MySQL, Postgre
  
  SQL).

• Bachelor’s Degree or higher in Computer Science, Engineering, Information Systems, or 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 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.

Pay Range: $184,450 – $249,550 (varies by experience, qualifications, and market). The total compensation package includes competitive base pay and variable compensation opportunities. Eligible employees may enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and paid/unpaid time off programs. Benefits may vary by location and eligibility.

Conflict of Interest:
Candidates must satisfy the company’s Conflict of Interest assessment process.

Drug Free Workplace:
Boeing maintains a Drug Free Workplace. Candidates and employees may be subject to drug testing in accordance with company policies.

Export Control:
Only U.S. Persons (U.S. citizens, lawful permanent residents, etc.) are eligible for this position.

Security Clearance:
No security clearance required.

Visa Sponsorship:
Boeing does not sponsor employment visas.

Boeing is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetic factors, military/veteran status, or other protected characteristics. EEO policy statements are provided on the company’s website.