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GE Vernova

Enterprise Architect

GE Vernova

. Lead strategic consulting engagements with utility customers .

Posted 10/21/2026full-timeRemote • United StatesMid-LevelSenior💰 $127,600 - $212,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecture and consulting, with a strong focus on translating business goals into actionable transformation plans and strategic roadmaps. Proficient in engaging with stakeholders and providing data architecture solutions across various platforms and technologies.

Highest-signal resume keywords
5+ Years Experience In ArchitectureData Fabric And Data Mesh Architecture DesignAPI-First Design And Event-Driven ArchitecturesAWS, Azure, Or GCP UnderstandingTOGAF Or Equivalent Frameworks Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Business Requirements Document (BRD) DocumentationLogical Data ModelingSQL Query WritingDataOps UnderstandingKubernetes KnowledgeHybrid Deployment PatternsMetadata ManagementAI-Ready Data Environment DesignScripting Languages (Python)Dashboards And Self-Service Reporting
Soft Skills
Clear Communication SkillsConfident Presentation Skills
Tools & Technologies
GridOS Data FabricApache SupersetPower BIDataHub
Industry Keywords
Utility EnvironmentsADMSAEMS/EMSDERMSIT/OT Integration

Tech Stack

Tools & technologies
ApacheAWSAzureCloudCyber SecurityGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact
  • Lead strategic consulting engagements with utility customers
  • Translate business goals into architecture direction, transition roadmaps, and actionable transformation plans
  • Facilitate workshops and advisory sessions with executive and operational customer stakeholders
  • Produce customer-facing strategic roadmaps, BRDs, and architecture recommendations
  • Shape enterprise opportunities with Sales, Presales, Product Management, Engineering, and Services teams
  • Support GridOS Data Fabric deals from negotiation through implementation planning
  • Provide data architecture expertise and scope technical requirements
  • Align customer expectations with platform capabilities
  • Engage cybersecurity, cloud, infrastructure, data, and solution application SMEs
  • Build reusable consulting methods, assets, and playbooks
  • Provide customer-engagement feedback to Product Management and Engineering teams
  • Act as a technical bridge between customers and product and engineering teams

Requirements

What you’ll need
  • 5+ years of experience in architecture, consulting, solution strategy, or digital transformation roles
  • Proven ability to document requirements in BRDs, SADs, or SOWs
  • Experience designing distributed Data Fabric and Data Mesh architectures
  • Ability to define metadata, lineage, semantics, and domain federation
  • Understanding of API-first design and event-driven architectures
  • Expertise in logical data modeling and domain modeling
  • Understanding of AWS, Azure, or GCP
  • Understanding of Kubernetes and hybrid deployment patterns
  • Ability to understand and write performant SQL queries, CTEs, and dynamic SQL
  • Broad enterprise architecture knowledge across Business, Data, Application, and Technology domains
  • Knowledge of TOGAF or equivalent frameworks
  • Familiarity with utility environments and systems such as ADMS, AEMS/EMS, DERMS, or comparable platforms
  • Clear, confident communication and presentation skills
  • Experience with IT/OT integration or transformation initiatives preferred
  • Background in strategic consulting or enterprise deal shaping preferred
  • Understanding of DataOps, Git-based version control, CI/CD for data pipelines, and reproducible data workflows preferred
  • Familiarity with scripting languages such as Python preferred
  • Experience with metadata management platforms such as DataHub preferred
  • Experience with dashboards and self-service reporting environments such as Apache Superset or Power BI preferred
  • Ability to design AI-ready data environments preferred
  • Must be legally authorized to work in the United States
  • Successful completion of a drug screen, as applicable
  • A bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field is nice to have, not required

Benefits

Comp & perks
  • Discretionary annual bonus
  • Medical, dental, vision, and prescription drug coverage
  • Health Coach from GE Vernova, a 24/7 nurse-based resource
  • Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
  • GE Vernova Retirement Savings Plan
  • Tax-advantaged 401(k) savings opportunity with company matching contributions
  • Company retirement contributions
  • Fidelity resources and financial planning consultants
  • Tuition assistance
  • Adoption assistance
  • Paid parental leave
  • Disability benefits
  • Life insurance
  • 12 paid holidays
  • Permissive time off
  • Continued on-the-job learning and development
  • Professional development opportunities
  • No relocation assistance