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Job Details
Posted date: Apr 20, 2025
Category: Information Technology|Data Science & Analytics
Location: Seattle, WA
Estimated salary: $174,900
Range: $142,800 - $207,000
Description
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.Boeing Information Technology and Data Analytics (IT&DA) is seeking a Senior Computing Architect in either Seattle, WA; North Charleston, SC; or Hazelwood, MO.
The selected candidate will join a collaborative and diverse team! This is a once-in-a-lifetime opportunity to play a pivotal role in designing and enhancing the experience for our operators and regulators within the MyBoeingFleet Portal and Commerce teams. In this role, you will gain unique insights into the world from our customers' perspectives, allowing you to create data-driven solutions that truly meet their needs and elevate their experiences.
Position Responsibilities:
Lead activities to define requirements, design and verify robust architecture, data and information management systems and components
Lead the identification of design constraints and ensures architecture conforms to requirements
Incorporate architecture functions into software development lifecycle
Lead the development and configuration management of architecture views and models
Assess of feasibility of architecture solutions and alternatives
Perform trade-off analyses
Evaluate products to assess suitability for integration into delivery system environments
Draft data and information management products and service standards
Assess impact of architectural decisions to product lifecycle
Develop architecture and data/information management standards and strategies
Coach and mentor others
Basic Qualifications (Required Skills/Experience):
7+ years of experience in data architecture, data modeling, or data management, with a focus on enterprise-level solutions
7+ years of experience in designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
Experience in leading data visualization strategy and designing complex dashboards using tools such as Tableau, Power BI, or Cognos
Experience in advanced data modeling techniques and experience with both relational and NoSQL databases (e.g., SQL Server, Oracle, Teradata, MongoDB)
Experience in user experience (UX) design, specifically in creating intuitive data interfaces and dashboards
Experience with data governance frameworks and compliance standards relevant to data management
Experience with AI and machine learning technologies, including the ability to integrate AI-driven insights into data architecture and analytics processes
Experience with tools and frameworks such as TensorFlow, PyTorch, or similar platforms
Preferred Qualifications (Desired Skills/Experience):
Experience with headless data architectures and APIs, enabling flexible data delivery and integration across various platforms and applications
Experience with semantic web technologies, including RDF (Resource Description Framework), OWL (Web Ontology Language), and SPARQL, to enhance data interoperability and knowledge representation
Experience in developing and deploying machine learning models and algorithms, with a focus on integrating AI-driven insights into data architecture and analytics workflows
Experience leading data visualization initiatives, including the design and implementation of interactive dashboards and reporting solutions that drive business insights
Experience with data management best practices, including data governance, data quality, and data lifecycle management, to ensure the integrity and usability of data assets
Experience with DataOps methodologies to streamline data workflows, enhance collaboration between data teams, and improve the speed and quality of data delivery
Experience with data cataloging and metadata management tools to facilitate data discovery, lineage tracking, and data stewardship
Experience with real-time data processing frameworks (e.g., Apache Kafka, Apache Flink) to support streaming data applications and analytics
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 market and business considerations.
Summary pay range: $142,800 - $207,000
Applications for this position will be accepted until Apr. 29, 2025
Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
Export Control Details: US based job, US Person required
Relocation
Relocation assistance is not a negotiable benefit for this position.
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.
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