1 day ago
Chicago, IL, USA +23 moreSenior
Base Salary
$173k - $250k/yr
Responsibilities
- Lead the strategy and execution of scalable data and analytics cloud platforms.
- Create reusable frameworks for delivering data and artificial intelligence solutions.
- Establish enterprise architecture standards, best practices, and governance guidelines.
- Design and implement self-service frameworks that enable compliant solution development.
- Develop cloud economics frameworks to monitor and analyze cloud costs.
- Build hands-on proof-of-concepts and minimum viable products for critical capabilities.
- Own project communications, stakeholder reviews, cross-team alignment, and technical research.
- Manage relationships with technology and consulting vendors, partners, and internal teams.
- Stay current with cloud and data architecture tools and technologies.
Requirements
- 10+ years of experience in data architecture focused on data platforms and technologies.
- 5+ years of experience designing and implementing scalable computing infrastructure for data solutions using cloud architectures such as AWS, Azure, or Google Cloud.
- 5+ years of experience with Apache Spark or Databricks.
- 5+ years of experience building reusable, self-service cloud and data architecture frameworks.
- 5+ years of experience in data security, governance, and compliance, including encryption, role-based access, metadata management, FedRAMP, NIST, and GDPR.
- 5+ years of experience modernizing legacy technology to cloud-native architectures and refactoring monoliths to microservices.
- 3+ years of experience in cloud economics, FinOps, or IT compliance.
- 3+ years of experience designing solutions using machine learning, generative AI, agentic AI, deep learning, optimization, and related techniques.
- A bachelor’s degree or higher in engineering, computer science, mathematics, physics, chemistry, or another technical field is preferred.
- Preferred experience includes aerospace or manufacturing, data ontologies and semantic models, Docker, Kubernetes, AWS Lambda, Azure Functions, self-service analytics, data science, statistics, machine learning, GenAI, APIs, and application integration.
- Successful candidates must satisfy Boeing’s Conflict of Interest assessment process and meet U.S. export-control requirements as a U.S. Person.
Benefits
- Eligible employees may access health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and paid and unpaid time away from work.
- The position offers competitive base pay and variable compensation opportunities.
- Relocation assistance is not negotiable for this position.
- The role is available at multiple U.S. locations and is designated Shift 1.
- The position is not safety-sensitive and does not require a security clearance.
Tech Stack
Categories
About Boeing
Boeing designs, manufactures, and services commercial airplanes along with defense and space systems for airlines, governments, and space agencies worldwide. It sells aircraft and related systems plus aftermarket support and lifecycle services. Founded in 1916 and headquartered in Arlington, VA, Boeing is a public company listed on the NYSE (BA), with notable programs including the 737/787 families and work on NASA space initiatives.