Enterprise Architect

GE Vernova, Inc.; Boston (MA); À distance; USD 128 000 - 213 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision and Rx cover

Health Coach access

24/7 nurse-based resource

Employee Assistance Program

401(k) with company match

Tuition assistance

Adoption assistance

Paid parental leave

Disability benefits

Life insurance

12 paid holidays

Permissive time off

Résumé du poste

GE Vernova seeks a senior Enterprise Architect to lead strategic engagements, shape architecture direction, and build trusted customer relationships in the Grid Software space. You’ll contribute to GridOS Data Fabric deals and collaborate across Sales, Product, Engineering, and Services to deliver data-driven transformation programs.

The role requires deep data and enterprise architecture knowledge, with the ability to handle strategic and technical discussions in a utility-only environment.

Qualifications

• 5+ years in architecture, consulting, solution strategy, or digital transformation roles.
• Document requirements via BRDs, SADs, or SOWs with clear scopes and non-functional needs.
• Design distributed data architecture with metadata, lineage and domain federation.
• Understand API-first and event-driven architectures for grid data streaming.
• Translate grid entities into business-friendly, domain-driven data structures.

Responsabilités

• Lead strategic consulting engagements translating business goals into architecture directions and roadmaps.
• Facilitate workshops with executive and operational customer stakeholders.
• Produce customer-facing deliverables: roadmaps, BRDs, and architecture recommendations.
• Collaborate with Sales, Presales, Product Management, Engineering, and Services on opportunities.
• Provide data architecture expertise for deal negotiation and implementation planning.

Connaissances

Enterprise Architecture

Data Architecture

Cloud & Deployment Architecture

SQL

TOGAF

Stakeholder Management

Communication Skills

Formation

Bachelor's or Master’s in Computer Science, Information Systems, Engineering

Outils

GridOS Data Fabric

Kubernetes

DataHub

Description du poste

Job Description Summary

About This Role

Utility companies are navigating one of the most complex digital transformation moments in the industry's history, modernizing mission-critical infrastructure while keeping the lights on. As an Enterprise Architect at GE Vernova, you'll sit at the center of that challenge, combining enterprise architecture expertise with deep data architecture knowledge to help utility customers design and execute their transformation strategies.

This is a senior individual contributor role within GE Vernova's Grid Software Business Services Architecture team. You'll lead strategic consulting engagements, shape architecture direction, and build trusted relationships that help customers make confident decisions about their digital future. A key part of the role will involve supporting GridOS Data Fabric deals, from negotiation through implementation planning, but you will also contribute broadly across enterprise architecture engagements.

Job Description

What You'll Do

• Lead strategic consulting engagements with utility customers, translating business goals into architecture direction, transition roadmaps, and actionable transformation plans.
• Facilitate workshops and advisory sessions with customer stakeholders at the executive and operational levels.
• Produce high-quality customer-facing deliverables — including strategic roadmaps, business requirements documents (BRDs), and architecture recommendations.
• Shape enterprise opportunities by connecting customer needs with feasible, value-driven solution approaches, in close collaboration with Sales, Presales, Product Management, Engineering, and Services teams.
• Contribute to Enterprise deal negotiation and implementation planning, providing data architecture expertise, scoping technical requirements, and ensuring alignment between customer expectations and platform capabilities.
• Engage subject matter experts (SMEs) across cybersecurity, cloud, infrastructure, data, and solution application domains to inform and strengthen recommendations.
• Build and contribute to reusable consulting methods, assets, and playbooks that raise the consistency and quality of strategic engagements across the team.
• Engage with product management teams to provide feedback based on customer engagements, acting as a technical bridge between customers and Product Management / Engineering teams.

What You'll Need

We're looking for a senior architect or consultant who combines deep knowledge of data architecture and enterprise architecture with a genuine understanding of the utility industry. You should be comfortable navigating both strategic conversations and technical depth.

Required

• 5+ years of experience in architecture, consulting, solution strategy, or digital transformation roles.
• Requirement Translation: Proven ability to document requirements in the form of Business Requirement Documents (BRDs), Solution Architecture Documents (SADs) or Statements of Work (SOWs) that define clear project scopes, constraints, and non-functional requirements.
• Data Fabric & Mesh Architecture: Proven experience designing distributed data architecture that moves away from monolithic silos. Ability to define metadata, lineage, semantics, and domain federation.
• Integration Proficiency: understanding of API-first design and event-driven architectures to support grid data streaming.
• Logical Data Modeling & Domain Modeling: Ability to design data models that prioritize business usability over rigid database structure. Expertise in translating complex physical grid entities (Assets, Connectivity Nodes, Measurements) into intuitive, domain-driven data structures that are easy for business users and analytics teams to consume.
• Cloud & Deployment Architecture: Understanding of cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes) sufficient to advise on solution deployment models. Our products, including GridOS Data Fabric, can be deployed in the cloud or on premises in Kubernetes clusters, so familiarity with hybrid deployment patterns and infrastructure considerations is important.
• SQL & Database Knowledge: Ability to understand and write performant SQL queries, common table expressions (CTEs), and dynamic SQL.
• Broad knowledge of enterprise architecture across Business, Data, Application, and Technology (BDAT) domains, grounded in recognized frameworks such as TOGAF or equivalent. Ability to apply EA principles to structure complex transformation programs and guide technology decisions.
• Strong familiarity with utility environments and mission-critical solutions such as Advanced Distribution Management Systems (ADMS), Advanced Energy Management Systems/Energy Management Systems (AEMS/EMS), Distributed Energy Resource Management Systems (DERMS), or comparable platforms
• Clear, confident communication and presentation skills — with an ability to connect business outcomes to technology strategy

Preferred

• Experience supporting IT/OT (Operational Technology) integration or transformation initiatives.
• Background in strategic consulting or enterprise deal shaping.
• DataOps & Version Control Awareness: Understanding of DataOps principles, including Git-based version control for analytical code and configuration, CI/CD for data pipelines, and reproducible data workflows.
• Scripting & Automation Literacy: Familiarity with modern scripting languages (e.g., Python) for data pipeline automation, API integration, and data profiling, sufficient to evaluate technical approaches and guide implementation teams.
• Data Catalog & Governance Tooling: Experience with metadata management platforms (e.g., DataHub) and the ability to design metadata capture, classification, and governance strategies at enterprise scale.
• Data Visualization & Self-Service Enablement: Experience designing intuitive dashboards and self-service reporting environments (e.g., Apache Superset, Power BI) that transform complex grid datasets into actionable insights for business users.
• AI/Analytics Readiness: Ability to design data environments that make data "AI-ready" (curated, governed, and accessible for ML/AI use cases).

Education
A formal education and subsequent bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field is nice to have, but we are most interested in your total experience and professional achievements.

Why GE Vernova

GE Vernova is a global energy technology company committed to electrifying and decarbonizing the world. The work you'll do here directly supports the infrastructure that millions of people depend on every day.

GE Vernova employees rise to the challenge of building a world that works. We offer varied, competitive benefits designed to reward strong performance and support your personal and professional life — including opportunities for continued on-the-job learning and development, and a path to grow your career over time.

Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No

#LI-Remote - This is a remote positionApplication Deadline: October 29, 2026

For candidates applying to a U.S. based position, the pay range for this position is between $127,600.00 and $212,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on October 21, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.