Data Solution Architect – Senior

Job Overview

• 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 utilizes 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 (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

• 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, Map Reduce, Hive, Pig, Spark)
• 5+ years of experience with Cloud hosted platforms such as AWS, Google Cloud Platform, or Azure

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.

• Data Analytics
• SQL Database Management
• AWS Cloud Solutions
• Big Data Technologies
• Data Warehousing

• Data Analytics
• SQL
• ETL
• Data Warehousing
• Data Modeling
• Big Data Technologies
• Programming Languages
• Data Quality Monitoring
• Data Infrastructure
• Data Integration

• Collaboration
• Problem‑Solving
• Communication
• Process Improvement
• Stakeholder Engagement

• Business Intelligence
• Master Data Management
• Data Pipeline
• Data Integrity
• Operational Efficiency

• Amazon Web Services
• SQL Server
• Oracle
• MySQL
• Hadoop
• Spark
• Google Cloud Platform
• Azure
• Data Lakes
• Data Warehouses