Data Engineering & Architecture Manager
About The Position
Electric Boat is seeking a Data Architecture Manager to lead its transformation toward a modern, scalable, AI-ready data ecosystem. The role bridges the existing complex legacy environment and the future-state data foundation, supporting analytics, AI, automation, and next-generation applications. The successful candidate will balance modernization and innovation with the stability required for mission-critical operations, influence across organizational boundaries, and translate business objectives into practical technology and architecture decisions. The manager will develop enterprise data architecture strategy and target-state designs, establish architecture principles and governance, and define practical transition paths. They will help build trusted, accessible, governed data for AI and advanced analytics, collaborate with data science, AI, product, and business teams, and evaluate technologies and approaches for data platforms, AI, real-time data, data products, and analytics. They will also build and mentor the Data Architecture team and advance its modeling, ontology, integration, and metadata capabilities.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Information Technology, or Engineering.
- Significant experience in data architecture, enterprise architecture, data engineering, or a related technology discipline.
- At least 8 years of experience in IT, data-focused technical roles, or enterprise systems.
- At least 4 years of supervisory experience.
- Experience partnering across enterprise, solution, application, infrastructure, security, and AI architecture domains.
- Experience developing enterprise data strategies and multi-year technology roadmaps.
- Ability to obtain and maintain a Secret security clearance.
Nice To Haves
- Experience with modern data platforms, data lakes or lakehouses, streaming architectures, APIs, and event-driven architectures.
- Experience supporting AI/ML, generative AI, or advanced analytics initiatives.
- Experience with data governance, data quality, metadata, master data, and information management.
- Experience with semantic layers, ontology development, or enterprise modeling.
- Experience working in complex, highly regulated enterprise environments.
- Experience with cloud-based data platforms and modern data architecture patterns.
- Experience defining target-state architectures and building transition roadmaps.
Responsibilities
- Develop and evolve enterprise data architecture strategy aligned with business and technology objectives.
- Define target-state data architecture and practical transition paths from current to future-state environments.
- Establish architecture principles, standards, patterns, and governance for scalable, consistent, and secure data solutions.
- Define data architecture to support the organization’s AI and machine-learning strategy.
- Help establish trusted, accessible, and well-governed data for analytics and AI teams.
- Partner with data science, AI, product, and business teams to understand emerging data requirements.
- Evaluate technologies and architectural approaches for data platforms, AI, real-time data, data products, and analytics.
- Help ensure data is discoverable, appropriately governed, secure, and usable across the enterprise.
- Build, lead, and mentor the Data Architecture team, advancing modeling, ontology, integration, and metadata capabilities.
- Provide clear direction while empowering architects and engineers to solve complex problems.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
