Enterprise Architect

gevernova; Bellevue (KY); On-site; USD 128,000 - 213,000; Full time

Benefits offered by this job

Medical benefits

Health Coach

401(k) plan

Paid time off

Tuition assistance

Job summary

GE Vernova is seeking a senior Enterprise Architect to lead strategic engagements with utility customers, translating business goals into architecture direction and roadmaps. You will work across Sales, Presales, Product Management, Engineering, and Services to shape data fabric and enterprise data solutions for GridOS Data Fabric.

You will collaborate with SMEs across cybersecurity, cloud, data, and solution domains and contribute to reusable methods and assets while engaging with executive

Qualifications

• 5+ years of architecture, consulting, solution strategy, or digital transformation roles.
• Requirement Translation: document requirements via BRDs, SADs or SOWs.
• Data Fabric & Mesh Architecture: design distributed data architecture with metadata, lineage, semantics, and domain federation.
• Integration Proficiency: API-first design and event-driven architectures for grid data streaming.
• Logical Data Modeling & Domain Modeling: translate grid entities into domain-driven structures.
• Cloud & Deployment Architecture: cloud platforms and Kubernetes; hybrid deployment patterns.
• SQL & Dynamic SQL proficiency.
• BDAT EA knowledge with TOGAF or equivalent.
• Familiarity with utility platforms like ADMS/AEMS/EMS/DERMS.
• Strong communication and presentation skills connecting business outcomes to tech strategy.

Responsibilities

• Lead strategic consulting engagements with utility customers and translate business goals into architecture direction and roadmaps.
• Facilitate workshops and advisory sessions with executive and operational stakeholders.
• Produce high-quality customer-facing deliverables—roadmaps, BRDs, and architecture recommendations.
• Shape enterprise opportunities by aligning customer needs with feasible solution approaches with cross-functional teams.
• Contribute to enterprise deal negotiation and implementation planning with data architecture expertise.
• Engage SMEs across cybersecurity, cloud, data, and solution domains to inform recommendations.
• Develop reusable consulting methods, assets, and playbooks for consistency.
• Provide feedback to Product Management and Engineering based on customer engagements.

Skills

Enterprise architecture

Data architecture

TOGAF/BDAT EA

Cloud & deployment architecture

SQL & database knowledge

Clear communication

Stakeholder facilitation

Education

Bachelor’s or Master’s in CS/IS/Engineering

Tools

Kubernetes

DataHub

Power BI

Git

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) 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

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.

• Medical, dental, vision, and prescription drug coverage.
• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
• 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.