Engineer IT Data Architect

Responsibilities for this Position

This Engineer IT Data Architect role is critical to designing, creating, and managing EBs complex data architecture to ensure the data is secure, scalable, and readily accessible for business use and decision-making. This role will establish the strategy for an organizations high-level data systems and frameworks. Success in the role will require working closely with engineers, analysts, and business leaders to align data solutions with strategic goals. The Engineer IT Data Architect will be part of the Electric Boat Corporation Enterprise Technical Architecture team and be included in broader IT application architecture governance

Responsibilities

• Design the vision, data blueprints and frameworks to ensure a comprehensive data architecture
• Define data modeling and governance standards
• Translate business needs into technical data requirements and creating a roadmaps for how data will be collected, store, processed and utilized across the enterprise
• Oversee the integration of disperse data sources and systems
• Designing ETL (extract, transform, load) or ETL processes to ensure seamless and efficient data flow
• Ensure data quality, consistency, integrity and compliance
• Monitor and optimize data system performance, troubleshoot issues, and implement new technologies to realize efficiencies
• Collaborate with cross-functional teams, including data modelers, developers, analysts, and business partners

• Strategic thinking and long-term planning
• Database and data modeling experience
• Business acumen
• Possessing a blend of technical and analytical skills

Required:

• Bachelors of Science degree in Engineering, Information Technology, Applied Mathematics, Computer Science, Computer Engineering, or Software Engineering
• 5+ years of post graduate experience in system design, data modeling and/or enterprise architecture

Preferred:

• Proficiency working within a highly regulated industry such as Federal, State, Finance, Health-careor Life Sciences
• Experience reducing complex topics and distilling them into management level summaries for non-technical audiences

PI284383219