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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 fitCore 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
Tailor your resumeApplicant 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 & technologiesApacheAWSAzureCloudCyber 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