GridOS Data Architect

Overview

Lead data architect defining models, APIs, and CIM standards for GridOS platform.

Key Responsibilities

• data modeling
• api standards
• cim standards
• architecture review
• backlog planning
• documentation

Tasks

-Knowledge Transfer and Collaboration: Work with the Architecture SteerCo and Developer Standard Practices team to establish standard pratcise around data modeling and API design. -Formalizing Data Models and API Standards: Lead the formalization and standardization of data models and API standards across products to ensure interoperability and efficiency. -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. -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. -Documentation: Ensure that data modeling and API standards are accurately documented and maintained in collaboration with documentation teams.

Requirements

• kubernetes
• ci/cd
• devsecops
• api standards
• data mesh
• cim

What You Bring

-Data Mesh and Data Fabric: Understanding of data mesh and data fabric principles, enabling software composability and data-centric design trade-offs. -API Standards: Expertise in defining and implementing API standards to ensure seamless integration and data exchange between systems. -Microservice Architecture: Understandig of microservice architecture and software development -Data Architecture and Modeling: Extensive experience in designing and implementing data architectures and common data models. -Common Information Model (CIM): In-depth knowledge of CIM standards and their application within the energy sector. -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. -Energy Industry Technologies: Familiarity with key technologies specific to the energy industry, such as Supervisory Control and Data Acquisition (SCADA), Geospatial network modeling, etc. -Mobile Software Architecture: Knowledge of mobile software architecture for field crew operations, offline support, and near-realtime operation.

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About Ge Vernova

-Traces roots back to Edison and Alstom, merging power, renewable, digital & financial wings. -Headquartered in Cambridge, MA, crafts large-scale gas turbines, SMRs, wind turbines, hydro and grid tech to fuel economies. -On the nuclear front, advancing small modular reactors (like BWRX‑300) in partnership with utilities and supporting semiconductor projects. -Wind prowess spans onshore, offshore and blade making—with key sites like Dogger Bank offshore and blade plants in Spain. -Electrification arm tackles grid stability: HVDC, transformers, storage, conversion, plus GridOS software powering smarter infrastructure. -Weaves finance and consulting through energy-infrastructure investments, funding solar farms to pipelines via GE Energy Financial Services.

Sector Specialisms