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Data Solution Architect; Senior or Lead

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Boeing
Full Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 153000 - 207000 USD Yearly USD 153000.00 207000.00 YEAR
Job Description & How to Apply Below
Position: Data Solution Architect (Senior or Lead)

Overview

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 opportunities for professional growth.

Location
  • Arizona:
    Mesa
  • California:
    El Segundo or Seal Beach
  • Missouri:
    Hazelwood
  • South Carolina:
    North Charleston
  • Pennsylvania:
    Ridley Park
  • Virginia:
    Arlington
  • Washington:
    Everett or Renton
Position

Data Solution Architect (Senior or Lead) – Support the Enterprise Services Technology and Systems Data Management Office team.

Responsibilities
  • Works with the Enterprise Services and Data Management Office leadership team to build complex, detailed visual displays and stories out of data to drive actionable outcomes.
  • Assembles large and complex sets of industrial data and utilizes the data pipeline and data infrastructure to meet functional business requirements.
  • Builds new platform integrations within The Boeing Company or with partners or vendors to support 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 (ETL) of data from various sources using Amazon Web Services (AWS) and SQL technologies.
  • Understands data modeling concepts and best practices while working with stakeholders including Executive, Product, Data, and Design teams to support their data infrastructure needs.
  • Supports Master Data Management initiatives by building and maintaining the technical infrastructure that enables consolidation, cleansing, and standardization of master data from various sources across the organization.
  • Builds and improves data‑driven models and analytical tools that provide information to downstream Business Intelligence tools, offering actionable insight into key business performance metrics.
  • 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.
Key Relationships & Stakeholders
  • Enterprise Services Executive Leadership Team
  • Data Science and IT
  • Service Tower Leadership (Indirect Supply Chain, Real Estate, Facilities & Asset Management, Executive Flight)
  • Build external relationships with vendors and/or consultant parties.
Basic Qualifications
  • 5+ years of experience in data analytics and/or business intelligence.
  • 5+ years of experience using SQL for application interactions with databases (e.g., Oracle, MySQL, SQL Server).
  • 5+ years of experience with database content management and querying languages.
  • 5+ years of experience working with data and data warehousing solutions.
  • 5+ years of experience with one or more programming languages (C, C++, Fortran, Python, MATLAB).
  • 5+ years of experience with Big Data technologies (e.g., Hadoop, Map Reduce, Hive, Pig, Spark).
  • 5+ years of experience with cloud‑hosted platforms such as AWS, Google Cloud Platform, or Azure.
Preferred Qualifications
  • 10+ years of related work experience or an equivalent combination of education and experience.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Computer Information Systems, or a closely related field.
  • Strong interpersonal and communication skills.
  • Continuous improvement mindset.
  • Experience solving problems, creating solutions, and delivering value for customers.
  • Experience mentoring and coaching employees.
  • Experience delivering business and data analytics solutions in manufacturing, engineering, energy, oil and gas, or similar operations environments.
  • Experience collaborating across the globe.
  • Willingness and ability to travel up to 20% domestically.
Conflict of Interest

Successful candidates must satisfy the Company’s…

Position Requirements
10+ Years work experience
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