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Engineer – IT Data Architect
Overview:
Responsibilities
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
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