Data Architect (Data & Analytics)

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Data Architect (Data & Analytics)

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GE Vernova .
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Job Description Summary

GE Vernova is the leading software provider for the operations of national and regional electricity grids worldwide. Our software solutions support electricity markets, enable grid and network planning, and facilitate real-time electricity grid operations.
Data & AI are central to our ongoing digital transformation, shaping the future of grid operation, clean energy initiatives, and AI-driven customer experiences.
Job Description

As a Data Architect (Data and Analytics) specializing in electric utilities, you will define and implement solutions leveraging the GridOS Data Fabric, the grid data management layer of GE Vernova’s GridOS Platform. You will collaborate with clients to understand their needs, translate them into technical requirements, and design scalable, efficient data architectures. Your role involves working with cross-functional teams to ensure seamless data flow, enhancing decision-making and operational efficiency.
Key Responsibilities

Solution Design and Architecture:

Work with utility clients (OT and IT) to understand data requirements, align data architecture with business goals, and design end-to-end data analytics solutions that ensure data integration and management across sources and systems.
Data Analytics:

Extract meaningful patterns and trends from data to support decision-making and optimize operations.
Data Integration:

Architect solutions that integrate data from various sources with the GridOS Data Fabric, ensuring data quality, consistency, and accessibility.
Technical Leadership:

Lead the technical delivery of data architecture, guiding project teams in implementation.
Mentoring and Training:

Collaborate during implementation, provide training and mentorship to teams and clients, ensuring successful adoption of GridOS Data Fabric.
Documentation:

Own design deliverables, ensure traceability of requirements with solutions.
Accountability:

Communicate and enforce the Solution Design to customers and stakeholders.
Team Collaboration:

Manage involvement of SMEs, ensure design contributions meet requirements, and collaborate with Product Managers & Engineering.
Continuous Improvement:

Drive excellence through best practices, reference architectures, and staying current with technological advancements.
Technical Expertise:

Build expertise and deliver technical consultancy in the domain.
Skills & Qualifications

Bachelor’s degree in computer science, IT, or related field.
Experience in data architecture, engineering, or similar roles.
Familiarity with big data technologies, analytics platforms, data fabric, data mesh, and data management technologies.
Knowledge of statistical analysis, machine learning, and data visualization.
Understanding of microservice architecture, Kubernetes, CI/CD, DevSecOps, and cloud platforms (Azure, AWS, Google Cloud).
Experience with electric utilities and industry-specific data challenges.
Client-facing or consulting experience.
Excellent communication skills in technical and non-technical contexts.
Knowledge of mobile software architecture for field operations is a plus.
Preferred Qualifications

Electric utility experience, familiarity with SCADA, geospatial modeling, renewables, DER orchestration.
Knowledge of CIM standards.
Experience with Agile, Scrum, DevOps methodologies.
Experience in software commissioning.
Strong problem-solving skills and ability to articulate technical topics.
Professional level English language skills.
Additional Information

Relocation Assistance Provided:

No
Seniority level

Mid-Senior level
Employment type

Full-time
Job function

Engineering and Information Technology
Industries

Electric Power Generation

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