Description
The Boeing Company is seeking a Senior Cloud Solutions Architect to join the team in various locations. The ideal candidate will play a pivotal role in leading, designing, and implementing innovative data, Artificial Intelligence (AI), and cloud architecture solutions that empower the organization to make informed, data-driven decisions.
As a Cloud Solution Architect, you will collaborate closely with cross-functional teams to thoroughly understand business requirements and translate them into high-reliable solution designs. You will then lead highly scalable, secure, and cost-effective solutions tailored to address specific business challenges.
Responsibilities:
- Lead and execute the strategy to build highly reliable and scalable data and analytics cloud platforms to ensure business requirements are met
- Lead the creation and implementation of repeatable and reusable frameworks for delivering Data and artificial intelligence (AI) solutions
- Establish architecture best practices, along with comprehensive standards and guidelines, to ensure adherence across the organization
- Lead, design, and implement Self-Service frameworks that empower business units to develop solutions in compliance with enterprise standards, promoting autonomy and innovation
- Develop Cloud economics frameworks that effectively monitor and analyze cloud costs at every level, driving informed financial decision-making
- Develop advanced hands-on Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to address critical capability needs, facilitating effective decision-making processes
- Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings, cross-team alignments, and technical research studies
- Establish working relationships with vendors, partners, and cross-teams and hold them accountable
- Stay up-to-date with the latest trends and best practices in Cloud and Data architecture tools and technologies
Requirements:
- 10+ years of experience in Data Architecture relating specifically to Data platforms and technologies
- 5+ years of experience in designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
- 5+ years of experience working with Apache Spark or Databricks
- 5+ years of experience building repeatable, reusable, and self-service cloud and data architecture frameworks, enabling teams to deploy scalable and compliant solutions autonomously
- 5+ years of experience in data security, governance, and compliance, including encryption, role-based access, metadata management, and regulatory alignment (FedRAMP, NIST, GDPR)
- 5+ years of experience modernizing legacy technology to cloud-native, refactoring monoliths to microservices using refactoring techniques such as domain-driven design (DDD), event storming, strangler fig, transitional architectures, etc.
- 3+ years of experience in cloud economics, FinOps, or IT compliance roles
- 3+ years of experience designing solutions using Machine Learning (ML), Generative Artificial Intelligence (AI), Agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case
Benefits:
- Competitive base pay and variable compensation opportunities
- 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