Engineer – IT Data Architect

This Engineer – IT Data Architect role is critical to designing, creating, and managing EB’s 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 organization’s 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

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-care or Life Sciences
• Experience reducing complex topics and distilling them into management level summaries for non-technical audiences

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