Data Engineering & Architecture Manager

General-Dynamics-Electric-Boat; Groton (CT); On-site; USD 140,000 - 210,000; Full time

Job summary

General Dynamics Electric Boat Corp. is seeking a Data Architecture Manager to guide EB's move to a scalable, AI-ready data ecosystem.

This role bridges legacy systems with a modern data foundation that supports analytics, AI, automation, and next-generation applications. You will lead enterprise data architecture, define target states, establish governance, and partner with data science, product, and business teams to translate goals into pragmatic technology decisions.

Qualifications

• Bachelor's degree in data science, computer science, information technology, or engineering.
• 8+ years in IT, data-focused technical roles, or enterprise systems.
• 4+ years of supervisory experience.
• Experience partnering across enterprise, solution, application, infrastructure, security, and AI architecture domains.
• Ability to obtain and maintain a Secret security clearance.

Responsibilities

• Develop and evolve the enterprise data architecture strategy in alignment 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 that promote scalable, secure data solutions.
• Define data architecture to support AI and machine-learning initiatives and ensure data is governed and accessible across the enterprise.
• Lead, mentor, and develop the Data Architecture team, providing clear direction and empowerment.

Skills

Data architecture

Enterprise architecture

Data engineering

Security

Education

Bachelor's degree in Data Science / CS / IT / Engineering

Job description

Overview

We are looking for a Data Architecture Manager to help lead Electric Boat’s transformation toward a modern, scalable, AI‑ready data ecosystem. This is not a role focused solely on creating data models or maintaining existing data structures. Instead, we need a leader who can bridge our current environment and our future state—someone who understands how to work within a complex legacy landscape while designing and implementing a modern data foundation that supports analytics, AI, automation, and next‑generation applications.

This position requires a forward‑thinking architect who can balance pragmatism with innovation: knowing when to modernize, when to integrate, and when to redesign—while ensuring stability for mission‑critical operations. The ideal candidate is comfortable navigating a large enterprise, influencing across organizational boundaries, and translating business goals into practical, actionable technology and architecture decisions.

Key Responsibilities:

Enterprise Data Architecture & Strategy

• Develop and evolve the enterprise data architecture strategy in alignment 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 that promote scalable, consistent, and secure data solutions.

Build the Foundation for AI and Advanced Analytics

• Define the data architecture required to support the organization’s AI and machine‑learning strategy.
• Help establish trusted, accessible, well‑governed data that can be effectively used by analytics and AI teams.
• Partner with data science, AI, product, and business teams to understand emerging data requirements.
• Evaluate new technologies and architectural approaches for data platforms, AI, real‑time data, data products, and analytics.
• Help ensure that data is discoverable, appropriately governed, secure, and usable across the enterprise.

Lead and Develop a Team

• Build, lead, and mentor the Data Architecture team, advancing EB’s modeling, ontology, integration, and metadata capabilities.

• Provide clear direction while empowering architects and engineers to solve complex problems.

Qualifications

Required:

• 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.
• 8+ years of experience in IT, data‑focused technical roles, or enterprise systems.
• 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

Preferred:

• Experience with modern data platforms, data lakes/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.