Boeing Principal Data Solutions Architect

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Job Details

Posted date: Aug 26, 2025

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Category: Data Science & Analytics

Location: Seattle, WA

Estimated salary: $219,000
Range: $170,000 - $268,000


Description

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’s Talent Analytics and Innovations team is currently seeking a Principal Data Solutions Architect to enhance excellence within our People Analytics organization. This role can be based in Seattle, WA, North Charleston, SC, Berkeley, MO or Arlington, VA.

This senior, hands-on role involves designing and managing critical data platforms while mentoring and developing data talent. You will set technical direction, define standards and best practices, and collaborate with cross-functional teams to deliver reliable, scalable, and secure people-data solutions.

An ideal candidate will have a proven track record of driving best practices and building high-performing, collaborative data teams, along with the ability to balance pragmatic delivery with long-term architectural health and governance.

Position Responsibilities:

Lead architecture and implementation of scalable extract, transform, load (ETL/ELT) and streaming pipelines for people data

Define long-term roadmap and migration strategies

Establish and evangelize standards, patterns, and reusable components for data pipelines, storage, and access

Drive code quality through design reviews, automated testing standards, continuous integration/continuous delivery (CI/CD) pipelines, and observability practices

Implement performance, cost, and reliability targets

Own runbooks, Service Level Agreements (SLAs), and incident remediation strategies

Mentor and coach data engineers on design, coding, testing, operations, and career growth

Run regular technical training, pairing, and knowledge-sharing sessions

Support hiring, interview calibration, and onboarding to grow the team’s capability and culture

Partner with data architects, data scientists, Human Resources (HR) business partners, and Information Technology (IT)/security to translate business needs into robust data solutions and ensure operational readiness

Communicate trade-offs, technical decisions, and risks to technical and non-technical stakeholders

Lead adoption of modern data management technologies and cloud-native patterns

Design data warehouse/lake strategies and integration approaches

Standardize metadata, lineage, and governance integrations to improve discoverability and compliance

Champion data governance and privacy best practices for sensitive HR data

Enforce access controls, encryption, and anonymization where appropriate

Ensure thorough documentation of architectures, Application Programming Interfaces (APIs), schemas, runbooks, and best practices to promote maintainability and compliance

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Basic Qualifications (Required Skills/Experience):

10+ years in in senior/principle technical role such as data or software architecture

5+ years of programming experience

Experience delivering production-grade data platforms and pipelines

Experience mentoring and elevating peers, leading cross-team technical initiatives, and influence culture

Experience with Teradata (or similar), Hadoop, Spark, Kafka, and both batch and streaming processing patterns

Experience with cloud data platforms such as AWS, GCP, or Azure and cloud-native data services

Experience with SQL, relational, NoSQL and graph databases and query languages

Experience in designing data warehouses, data lakes, dimensional models, CDC/event-driven architectures, and high-throughput pipeline designs

Experience using orchestration tools such as containerization, Kubernetes, IaC (Terraform), CI/CD, automated testing, and observability tooling

Experience explaining complex technical topics clearly and mentoring non-technical stakeholders

Preferred Qualifications (Desired Skills/Experience):

Experience with people/HR data, HRIS integrations, and handling confidential data

Experience with metadata/catalog tools (Amundsen, DataHub, Collibra)

Experience with Machine Learning (ML) workflows/MLOps supporting people analytics models

Experience leading technical transformations or platform consolidations

Drug Free Workplace:

Boeing is a Drug Free Workplace 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: $170,000 - $268,000

Applications for this position will be accepted until Sept. 03, 2025

Export Control Requirements: This is not an Export Control position.

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.



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