Job Description Summary

As a Data Architect, you will play a pivotal role in defining and implementing common data models, API standards, and leveraging the Common Information Model (CIM) standard across a portfolio of products deployed in Critical National Infrastructure (CNI) environments globally.

GE Vernova is the leading software provider for the operations of national and regional electricity grids worldwide. Our software solutions range from supporting electricity markets, enabling grid and network planning, to real-time electricity grid operations.

In this senior technical role, you will collaborate closely with lead software architects to ensure secure, performant, and composable designs and implementations across our portfolio.

Job Description

Grid Software (a division of GE Vernova) is driving the vision of GridOS - a portfolio of software running on a common platform to meet the fast-changing needs of the energy sector and support the energy transition. Grid Software has extensive and well-established software stacks that are progressively being ported to a common microservice architecture, delivering a composable suite of applications. Simultaneously, new applications are being designed and built on the same common platform to provide innovative solutions that enable our customers to accelerate the energy transition.

This role is for a senior data architect who understands the core designs, principles, and technologies of GridOS. Key responsibilities include:

• Formalizing Data Models and API Standards: Lead the formalization and standardization of data models and API standards across products to ensure interoperability and efficiency.
• Leveraging CIM Standards: Implement and advocate for the Common Information Model (CIM) standards to ensure consistent data representation and exchange across systems.
• Architecture Reviews and Coordination: Contribute to architecture reviews across the organization as part of Architecture Review Boards (ARB) and the Architecture Decision Record (ADR) process.
• Knowledge Transfer and Collaboration: Work with the Architecture SteerCo and Developer Standard Practices team to establish standard pratcise around data modeling and API design.
• Documentation: Ensure that data modeling and API standards are accurately documented and maintained in collaboration with documentation teams.
• Backlog Planning and Dependency Management: Work across software teams to prepare backlog planning, identify, and manage cross-team dependencies when it comes to data modeling and API requirements.

Key Knowledge Areas and Expertise

• Data Architecture and Modeling: Extensive experience in designing and implementing data architectures and common data models.
• API Standards: Expertise in defining and implementing API standards to ensure seamless integration and data exchange between systems.
• Common Information Model (CIM): In-depth knowledge of CIM standards and their application within the energy sector.
• Data Mesh and Data Fabric: Understanding of data mesh and data fabric principles, enabling software composability and data-centric design trade-offs.
• Microservice Architecture: Understandig of microservice architecture and software development
• Kubernetes: Understanding of Kubernetes, including software development in an orchestrated microservice architecture. This includes Kubernetes API, custom resources, API aggregation, Helm, and manifest standardization.
• CI/CD and DevSecOps: Experience with CI/CD pipelines, DevSecOps practices, and GitOps, especially in secure, air-gapped environments.
• Mobile Software Architecture: Knowledge of mobile software architecture for field crew operations, offline support, and near-realtime operation.

Additional Knowledge (Advantageous but not Essential)

• Energy Industry Technologies: Familiarity with key technologies specific to the energy industry, such as Supervisory Control and Data Acquisition (SCADA), Geospatial network modeling, etc.

This is a critical role within Grid Software, requiring a broad range of knowledge and strong organizational and communication skills to drive common architecture, software standards, and principles across the organization.

Additional Information