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Boeing

Data Solution Architect – Senior

Boeing

Data Solution Architect supporting Boeing’s Enterprise Services with complex data solutions. Engaging in partnerships, optimizing processes, and ensuring data integrity across multiple platforms.

Posted 7/12/2026full-timeArlington • Arizona, California, Montana, Pennsylvania, South Carolina, Virginia, Washington • 🇺🇸 United StatesSenior💰 $153,000 - $207,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in data analytics, business intelligence, and data warehousing, with a strong focus on SQL, AWS, and Big Data technologies. Capable of building and optimizing data infrastructure and processes to ensure high data integrity and actionable insights.

Highest-signal resume keywords
Data AnalyticsSQL Database ManagementAWS Cloud SolutionsBig Data TechnologiesData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalyticsSQLETLData WarehousingData ModelingBig Data TechnologiesProgramming LanguagesData Quality MonitoringData InfrastructureData Integration
Soft Skills
CollaborationProblem-SolvingCommunicationProcess ImprovementStakeholder Engagement
Tools & Technologies
Amazon Web ServicesSQL ServerOracleMySQLHadoopSparkGoogle Cloud PlatformAzureData LakesData Warehouses
Industry Keywords
Business IntelligenceMaster Data ManagementData PipelineData IntegrityOperational Efficiency

Tech Stack

Tools & technologies
AWSAzureCloudETLGoogle Cloud PlatformHadoopMapReduceMySQLOraclePythonSparkSQL

About the role

Key responsibilities & impact
  • Works with the Enterprise Services and Data Management Office leadership team to build complex, detailed visual display and stories out of data to drive actionable outcomes
  • Assembles large and complex sets of industrial data and utilize the data pipeline and data infrastructure to meet functional business requirements
  • Builds out new platform integrations within The Boeing Company or with our partners or vendors to support the organization’s growing data volume and complexity
  • Identifies and implements internal process improvements aimed at achieving greater scalability, optimizing data delivery, and automating existing manual processes
  • Builds required infrastructure for optimal extraction, transformation and loading Extract Transform Load (ETL) of data from various data sources using Amazon Web Services (AWS) and SQL technologies
  • Understands data modeling concepts and best practices while working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
  • Supports Master Data Management initiatives by building and maintaining the technical infrastructure that enables the consolidation, cleansing, and standardization of master data from various sources across the organization, ensuring a single source of truth
  • Builds and improves data-driven models and analytical tools that provide information to downstream Business Intelligence tools providing actionable insight into key business performance metrics including operational efficiency and asset performance management
  • Implements processes and tools to monitor data quality ensuring high data integrity and availability to key stakeholders
  • Works closely with a team of frontend and backend engineers, product managers, analysts, business units and engineering teams to develop a resilient strategy for long term data platform architecture
  • Follows industry best practices for documentation of standards, processes and data architecture for future reference and compliance
  • Implements data storage solutions, including data lakes and warehouses

Requirements

What you’ll need
  • 5 + years of experience in data analytics and/or business intelligence
  • 5+ years of experience using SQL for application interactions with databases (i.e. Oracle, MYSQL, SQL Server, etc.)
  • 5+ years of experience with database content management and database querying languages
  • 5+ years of experience working with data and data warehousing business solutions
  • 5+ years of experience with one or more of the following programming languages (C, C++, Fortran, Python, Matlab, etc.)
  • 5+ years of experience with Big Data technologies (e.g. Hadoop, MapReduce, Hive, Pig, Spark)
  • 5+ years of experience with Cloud hosted platforms such as AWS, Google Cloud Platform, or Azure

Benefits

Comp & perks
  • Health insurance
  • Flexible spending accounts
  • Health savings accounts
  • Retirement savings plans
  • Life and disability insurance programs
  • Paid time off