Ubique Systems
Data Architect - Enterprise OT Asset Data Products
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Role Purpose
We are seeking an experienced Data Architect to define the target data architecture for Enterprise OT asset data products. The role will ensure electricity transmission asset data from substations, SCADA, IoT, historians, logs, and fault records is structured, contextualised, governed, and aligned to the Enterprise Data Model so it can be trusted and reused across the organisation.
The role focuses on turning fragmented operational and asset data into standardised, asset-linked data products that support condition monitoring, maintenance planning, disturbance analysis, operational decision-making, analytics, and future AI-enabled capabilities.
Key Objectives and Responsibilities
- Define the Target Data Architecture Develop the target architecture for OT asset data products, including logical and conceptual models, canonical data structures, ingestion and storage patterns, and alignment with the Enterprise Data Model.
- Align OT Data to Enterprise Asset Context Define how OT data is linked to enterprise asset hierarchies, functional positions, EAM identifiers, substation naming conventions, and protocol-specific structures such as IEC 61850, SCADA, and IoT telemetry.
- Establish Data Product Standards Set standards for data products, including metadata, schema definitions, quality rules, lineage, refresh requirements, ownership, stewardship, version control, and security classification to ensure data is reusable and well understood.
- Support Data Modelling and Normalisation Define common modelling, normalisation, and contextualisation patterns for time-series, event, alarm, measurement, and file-based data, while preserving traceability and enabling comparison across multiple source systems.
- Enable Governance and Delivery Alignment Work across initiatives including IoT, intelligent substations, SCADA replacement, enterprise asset management, and analytics platforms to align architecture decisions, define governance requirements, and support delivery teams with practical architecture artefacts.
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Key Deliverables
Expected outputs include a current-state assessment, target-state OT data architecture, logical data models, source-to-target mapping principles, data product standards, metadata and lineage requirements, normalisation patterns, and governance recommendations.
Experience and Skills Required
The successful candidate will bring strong experience in enterprise data architecture, data modelling, metadata and lineage management, data governance, source-to-target mapping, data quality, and the design of reusable data products for enterprise consumption.
- Proven experience in enterprise or solution data architecture within complex environments.
- Strong capability in conceptual, logical, and canonical data modelling.
- Experience designing data products, standards, and governance frameworks.
- Experience with time-series, telemetry, event, and operational data.
- Ability to translate complex technical source structures into business-meaningful, reusable models.
- Experience working in regulated, asset-intensive, or safety-critical sectors.
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Desirable Knowledge
Knowledge of electricity transmission, substations, operational technology, enterprise asset management, SCADA/historian platforms, IEC 61850, COMTRADE, PMU, and condition monitoring would be highly beneficial.
Working Style and Behaviours
The role requires someone who can work across technical and business teams, bring clarity to complex problems, balance strategic direction with practical delivery, and communicate effectively with both technical and non-technical stakeholders.
- Collaborative and able to work across architecture, engineering, operations, and data teams.
- Comfortable operating in ambiguity and shaping practical solutions.
- Strong communicator with the ability to challenge constructively and drive consistency.
Success Measures
Success in the role will be demonstrated by the creation of trusted, reusable OT asset data products that are aligned to enterprise asset context, governed effectively, and accessible for analytics, operational insight, and future digital capabilities.
- Consistent alignment of OT data to enterprise asset identifiers and metadata.
- Reusable, well-described data products that support multiple business and analytics use cases.
- Clear modelling and governance patterns that improve trust, discoverability, and usability of asset data.
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