DERMS Data Architect & Cloud Integration Expert

CP1371 GE Vernova Electrification Software Holdings LLC; Bellevue (WA); Hybrid; USD 120,000 - 179,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Health Coach access

401(k) retirement plan with company/m

Paid holidays

Job summary

CP1371 GE Vernova Electrification Software Holdings LLC is seeking a DERMS Data Architect and Integration Specialist to lead end‑to‑end data lifecycle work for GE GridOS deployments in Bellevue, WA, with US-based remote options.

You will model, integrate, and govern data across utility environments, using tools like Erwin, Oracle Data Modeler, and Power BI, with cloud platforms (AWS/Azure/GCP) and power-system software familiarity.

Qualifications

• 5+ years in data modeling and data analysis.
• Bachelor's degree in CS, Data Science, EE, or related field.
• 5+ years with Oracle, Snowflake, SQL Server or Teradata.

Responsibilities

• Perform advanced data profiling and source-to-target mapping documents.
• Design conceptual, logical, and physical data models (ER and dimensional).
• Architect and integrate data solutions with high data integrity.
• Design and implement AWS-based database structures and ETL processes.
• Collaborate with solution specialists to translate requirements into architectures.
• Establish data standards, governance, and quality frameworks.

Skills

Data modeling

Data analysis

SQL / databases

Power BI

Java / Python

DB connectors

Education

Bachelor's degree in Computer Science, Data Science, Electrical Engineering, or related field

Tools

Erwin

Oracle Data Modeler

Enterprise Architect

OpenDSS

CYME

PowerFactory

Synergi

AWS

Azure

GCP

Job description

CP1371 GE Vernova Electrification Software Holdings LLC is seeking a DERMS Data Architect and Integration Specialist to lead end‑to‑end data lifecycle work for GE GridOS deployments in Bellevue, WA, with US-based remote options.

You will model, integrate, and govern data across utility environments, using tools like Erwin, Oracle Data Modeler, and Power BI, with cloud platforms (AWS/Azure/GCP) and power-system software familiarity.