Senior Cloud Data Architect at Boeing in Seattle, WA

Senior Cloud Data Architect Location: USA - Seattle, WA Senior Cloud Data Architect Company: The Boeing Company Boeing has a current need for a Senior Cloud Data Architect to deliver enterprise data pipelines and platform components on AWS and Databricks; hands‑on contributor who drives implementation, performance tuning, and mentoring. Drive the modernization of legacy ETL pipelines to a scalable, configuration-driven ETL framework running on AWS. Position Responsibilities: Lead large scale ETL modernization initiative migrating legacy pipelines (like DataStage, GoldenGate, HVR, etc.,) to a scalable, configuration-driven, metadata-based ETL framework, and ensure adherence to data governance, security, and compliance standards. Lead the implementation of a metadata‑driven, reusable ETL framework on AWS cloud data platform and champion repeatable, self‑service cloud and data architecture patterns that enable teams to deploy scalable, high‑performant, maintainable, and compliant data pipelines autonomously across the enterprise. Lead end-to-end data integration and ETl/ELT processes to ingest, transform and deliver complex structured and unstructured data into a governed Data Lakehouse, enabling seamless access for analytics, reporting and data science workloads. Designing and solutioning cloud-native & Cloud agnostic data platforms and data engineering solution on AWS, and experience in SaaS products like Databricks to ensure portability, resilience and consistent governance across environments Drive automation, DevOps/DevSecOps, and Infrastructure as Code (IaaC) initiatives to deliver repeatable, testable, and deployable artifacts and accelerate migrations. Troubleshoot and resolve implementation issues throughout the SDLC; monitor architecture compliance and operational health. Design and configure data pipelines with enterprise orchestration and scheduling tools, and establish monitoring, alerting, and operational runbooks for production support. Provide technical leadership, mentorship, and guidance to ETL engineering teams, provide best coding practices, enable team in automation strategies and tools, conduct peer reviews, and knowledge sharing across distributed teams. Build and maintain strong relationships with vendors, partners, and cross‑functional teams, own stakeholder communications and collaboration channels, and drive accountability and organizational change through regular updates to product managers, DBAs, architects, and senior leadership. Operationalize and standardize cloud platforms (AWS/Azure), applying architecture patterns, guardrails, and enterprise standards for scalability, reliability, security, compliance, and cost control. Basic Qualifications (Must Have Skills) Bachelor’s Degree or higher in Computer Science, Engineering, Information Systems, or equivalent practical experience] Demonstrated ability to lead technical initiatives, mentor peers, and communicate effectively across distributed teams. 5+ years` experience with ETL tools and patterns (e.g., DataStage, Informatica) and building repeatable ETL/ELT pipelines 5+ years` hands‑on experience building large‑scale big data applications using Databricks / Apache Spark; familiarity with Hadoop and Kafka is a plus; demonstrable production performance tuning experience. 3+ years of experience in designing and implementing metadata-driven, pattern-based ETL/ELT frameworks. 3+ years working with AWS data services and core managed services (S3, VPC, IAM, KMS, Secrets Manager, EC2) and cloud data lake/warehouse concepts. 3+ years` implementing CI/CD and DevOps practices for data workloads (GitHub/GitLab, Terraform, Jenkins or equivalent 3+ years` experience with orchestration tools (Airflow, Autosys, Databricks Workflows). Hands‑on experience with ingestion patterns: batch, streaming, and CDC Strong skills in performance tuning and optimization of new and migrated data pipelines Preferred Skills (Nice To Have) 5+ years` exposure to data security, governance, and compliance practices (encryption, RBAC, metadata management); familiarity with FedRAMP, NIST, and GDPR. Experience migrating medium‑to‑large pipelines to cloud — include scale if possible (e.g., TBs/day, number of pipelines). Familiarity with observability and lineage tooling (Datadog, Prometheus, OpenLineage, Unity Catalog, etc.). Experience with Agile software development lifecycle and tooling (ADO, JIRA) Typical Education/Experience: Education/experience typically acquired through advanced education (e.g. Associate) and typically 2 or more years' related work experience or an equivalent combination of education and experience (e.g. Bachelor+1 years' related work experience, 5 years' related work experience, etc.). Relocation: Relocation assistance is not a negotiable benefit for this position.  Candidates must live in the immediate area of a Boeing facility or relocate at their own expense. 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 are 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 several 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. Pay Range is dependent on geographical location and experience: Senior (level 5) - $182,700 - $230,000 Senior (level 6) - $218,700 - $280,000 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: 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. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning 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. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish) Additional Locations: USA - Seal Beach, CA, USA - Long Beach, CA, USA - Huntington Beach, CA, USA - Berkeley, MO, USA - El Segundo, CA, USA - Dallas, TX, USA - North Charleston, SC