Principal Architect - Energy Intelligance

We are building an intelligence layer for the distributed energy industry.

Across our businesses, we operate in solar, battery storage, energy distribution, software, financing, installation workflows, after-sales services and energy assets. Together, these businesses generate significant operational data across customers, installers, suppliers, products, proposals, orders, projects, physical assets, financing and post-installation performance.

Our next challenge is not simply to centralise this data. It is to create a common digital representation of the distributed energy ecosystem: a shared Energy Ontology that enables our software, analytics systems and AI agents to understand how the real world is structured, how entities relate to one another, how they change over time and what actions can be taken.

We are looking for a Principal Knowledge Architect to lead this effort.

This is a rare opportunity to design a knowledge architecture from the ground up across a global, multi-business energy platform. You will have the opportunity to define the foundational model that shapes how data, software and AI operate across the group.

This is not a traditional Data Engineer, BI, Data Warehouse or Enterprise Architecture role. You will define the semantic and knowledge architecture that sits between our underlying data infrastructure and the AI applications, decision systems and operational workflows built on top of it.

Define and continuously evolve the canonical ontology for the distributed energy ecosystem.

You will establish:

• Core business objects and entity definitions
• Attributes, properties and relationships
• Events, states and lifecycle transitions
• Actions and business rules
• Identifiers and source-of-truth principles
• Provenance and data lineage
• Temporal and geospatial relationships

You will ensure that different businesses and systems describe the same real-world entities consistently.

Work across multiple platforms and data sources to establish a shared representation of customers, installers, products, orders, projects, properties and energy assets.

• Which systems and sources are authoritative
• How entities are identified across platforms
• How duplicate entities should be resolved
• How information can be appropriately shared across businesses
• How entities and relationships evolve over time
• How common models can be used across software products without requiring every application to share the same physical database

You will work closely with our global data and platform engineering teams, including our China-based Data Platform Team.

The Principal Knowledge Architect will own the ontology, semantic architecture, canonical object definitions, relationship models, knowledge architecture, data contracts, ontology governance, knowledge graph architecture and AI readiness of enterprise data.

Our Data Platform Team owns ingestion, pipelines, storage, transformation, APIs, infrastructure, data quality implementation, platform engineering and production systems.

Together, you will translate complex business reality into scalable production data infrastructure.

Design the knowledge foundation that enables future AI systems to understand entities, relationships, state and operational context.

This could enable AI systems to understand:

• Who a customer is across multiple interactions and businesses
• Which installer services a customer or property
• Which energy assets and products exist at a property
• Which products and systems are compatible
• Which proposals are most likely to convert
• Which financing options may be appropriate
• What has happened previously and what state an entity is currently in
• What action a system should take next

The goal is to make enterprise data understandable and actionable for intelligent applications, not simply accessible.

Develop the architecture required to connect fragmented records representing the same real-world entities.

This may include installers represented differently across multiple systems, customers…