Senior Data Solution Architect

Boeing

Data Solution Architect at Boeing, building data solutions and driving actionable outcomes through data analysis and insights. Collaborating across teams to optimize data delivery and support business needs.

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 quality and actionable insights.

Highest-signal resume keywords

Data AnalyticsSQL ProficiencyAWS ExperienceBig Data TechnologiesData Warehousing Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsSQLData WarehousingETLData ModelingBig Data TechnologiesCloud PlatformsData Quality MonitoringData IntegrationDatabase Management

Tools & Technologies

Amazon Web ServicesSQL ServerOracleMySQLHadoopSparkGoogle Cloud PlatformAzureData LakesData Warehouses

Industry Keywords

Master Data ManagementData PipelineData InfrastructureBusiness IntelligenceOperational 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 and unpaid time away from work