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 Data Solutions Architect Senior Manager 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
Lead 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
5+ years of leadership experience in a formal or informal role
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 spanet and business considerations.
Summary pay range: $158,950 - $250,000
Applications for this position will be accepted until Sept. 10, 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.
