Enterprise Architect

GE Vernova, Inc.

United States

Remote

USD 150,000 - 210,000

Full time

4 days ago
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Job summary

GE Vernova, Inc. is seeking an Enterprise Architect to lead strategic consulting engagements for utility customers, translating business goals into architecture direction and actionable transformation roadmaps.

You will collaborate with Sales, Presales, Product Management, Engineering, and Services teams to shape solutions and drive GridOS Data Fabric initiatives. The role requires deep data and enterprise architecture expertise, strong communication, and the ability to navigate both strategic

Qualifications

  • 5+ years of architecture, consulting, or digital transformation experience.
  • Document requirements as BRDs, SADs, or SOWs with clear scopes and non-functional reqs.
  • Distributed data fabric/mesh architecture with metadata, lineage, semantics, domain federation.
  • API-first design and event-driven architectures for grid data streaming.
  • Domain-driven modeling of grid entities (Assets, Connectivity Nodes, Measurements).
  • Cloud platforms (AWS/Azure/GCP) and Kubernetes deployment in hybrid patterns.
  • Strong SQL skills and enterprise BDAT knowledge; TOGAF guidance.

Responsibilities

  • Lead strategic consulting engagements translating business goals into architecture direction and roadmaps.
  • Facilitate workshops with executives and operators; produce roadmaps, BRDs, and architecture recommendations.
  • Shape opportunities by aligning customer needs with feasible, value-driven solutions.
  • Support enterprise deal negotiation with data architecture input and technical scoping.
  • Engage SMEs across cybersecurity, cloud, data, and solution domains to strengthen recommendations.
  • Develop reusable consulting assets and playbooks for consistency across engagements.
  • Provide feedback to Product Management and Engineering from customer engagements.

Skills

Enterprise Architecture
Data Architecture
Cloud & Deployment
Kubernetes
SQL
TOGAF
BRDs/SOWs
API-first / Event-driven
Data Modeling
Domain Modeling

Tools

AWS
Azure
GCP

Job description

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) integratio
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