Senior Data Solutions Architect

• 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

Do you have experience in Tooling?, * 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), * 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

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process., This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Pulled from the full job description

• Tuition reimbursement
• Health insurance
• 401(k) matching
• Health savings account
• Flexible spending account
• Adoption assistance
• Disability insurance, Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to 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 a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $184,450 - $249,550, No matter where you are in life, our benefits help prepare you for the present and the future.

• 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.

These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.

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.