Data Solution Architect (Senior or Lead)

About the role

The Boeing Company is seeking a Data Solution Architect (Senior or Lead) to support their Enterprise Services Technology and Systems Data Management Office team in one of the following locations: Arizona: Mesa, California: El Segundo or Seal Beach, Missouri: Hazelwood, South Carolina: North Charleston, Pennsylvania: Ridley Park, Virginia: Arlington, Washington: Everett or Renton.

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
• Buils 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 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

Qualifications

• 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

Preferred Qualifications

• 10+ years of related work experience or an equivalent combination of education and experience
• Experience with interpersonal and communication skills
• Experience with a continuous improvement mindset
• Experience mentoring and coaching employees
• Experience delivering business and data analytics solutions in a manufacturing, engineering, energy sector, oil and gas industry, or another type of operations environment
• Experience in collaborating across the globe
• Willing and able to travel up to 20% domestically