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Data Solution Architect; Senior or Lead
Job in
Arlington, Arlington County, Virginia, 22201, USA
Listed on 2026-07-17
Listing for:
Boeing
Full Time
position Listed on 2026-07-17
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst
Job Description & How to Apply Below
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
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.
- 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.
- 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.
- 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.
Successful candidates must satisfy the Company’s…
Position Requirements
10+ Years
work experience
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