Senior Data Architect – Technologist
Boeing
Cloud Data Engineer
Boeing
full-time
Posted on:
Location Type: Hybrid
Location: Seattle • Arizona, California, Montana, Virginia, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $105,400 - $152,950 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudDockerKubernetesPythonSQLTerraform
About the role
- Own both DBaaS/platform lifecycle and consumer-facing dataset delivery
- Provision and operate DBaaS instances, implement dataset provisioning and access patterns
- Optimize query performance, enforce security/compliance, and collaborate with data architects
- Participate in all aspects of agile delivery including design, implementation, testing, and deployment
- Implement and maintain dataset provisioning and delivery processes to support downstream consumers
- Continuously review and recommend platform improvements to improve reliability, security, performance, and cost efficiency
Requirements
- 3+ years of experience in data engineering or cloud data platform operations
- Hands-on experience managing cloud managed databases/DBaaS (e.g., AWS RDS/Aurora)
- Practical experience implementing Infrastructure-as-Code (Terraform)
- Proficiency in Python and SQL for automation, operational tooling, and query optimization
- Experience with version control and CI/CD pipelines (e.g., GitLab CI/CD) and containerization (Docker, Kubernetes)
- Demonstrated experience with backups/DR, performance tuning, capacity planning, runbooks, and production incident response for DB-backed services
- Working knowledge of access control models and enforcement (RBAC) and exposure to attribute-based or policy-driven controls (ABAC)
- Experience implementing security/compliance controls for data (encryption, auditing/logging, data classification, masking/anonymization)
Benefits
- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid and unpaid time away from work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringcloud data platform operationsDBaaSAWS RDSAWS AuroraInfrastructure-as-CodeTerraformPythonSQLperformance tuning
Soft skills
collaborationagile deliveryproblem-solvingcommunication
