Data Architect, Enterprise OT Asset Data Products

Experis; Greater London; Hybrid; GBP 129,000 - 166,000; Full time

Benefits offered by this job

Umbrella contract

Job summary

Experis is seeking a Data Architect for Enterprise OT Asset Data Products in London. This contract role, hybrid, focuses on defining target data architecture, canonical structures and governance for enterprise OT asset data to enable reliable condition monitoring and smarter operational insight.

You will model time-series, events and measurements, establish data standards and align delivery with governance across IoT, SCADA replacement and asset management initiatives.

Qualifications

• Strong enterprise data architecture experience, including conceptual, logical and canonical data modelling.
• Proven capability in metadata, lineage management, source-to-target mapping and data quality.
• Experience designing reusable data products with standards and governance frameworks.
• Ability to translate fragmented OT source structures into business-meaningful, consistent models.
• Confidence collaborating across architecture, engineering, operations and data teams-communicating clearly to technical and non-technical stakeholders.

Responsibilities

• Define the target data architecture for enterprise OT asset data products, including logical/conceptual models and canonical structures.
• Ensure electricity transmission asset data is structured, contextualised and aligned to the Enterprise Data Model—so it's reusable across the organisation.
• Create clear standards for data products (metadata, schema definitions, quality rules, lineage, refresh requirements, ownership, stewardship and version control).
• Develop modelling and normalisation patterns for time-series, event, alarm, measurement and file-based data—while preserving traceability across sources.
• Work closely with initiatives across IoT, intelligent substations, SCADA replacement, enterprise asset management and analytics platforms to align delivery with governance.

Skills

Enterprise data architecture

Metadata management

Data modelling

Data governance

Stakeholder communication

Tools

Canonical data structures

Job description

Data Architect, Enterprise OT Asset Data Products

Location: London (hybrid)

Duration: 6 months +

Umbrella only

If you're passionate about making complex operational data genuinely usable-trusted, standardised and governed-this is a role where your architecture decisions directly enable condition monitoring, maintenance planning and smarter operational insight. Our Client is hiring a Data Architect on a contract basis for a minimum of 6 months.

What you'll be doing:

• Define the target data architecture for enterprise OT asset data products, including logical/conceptual models and canonical structures
• Ensure electricity transmission asset data is structured, contextualised and aligned to the Enterprise Data Model-so it's reusable across the organisation
• Create clear standards for data products (metadata, schema definitions, quality rules, lineage, refresh requirements, ownership, stewardship and version control)
• Develop modelling and normalisation patterns for time-series, event, alarm, measurement and file-based data-while preserving traceability across sources
• Work closely with initiatives across IoT, intelligent substations, SCADA replacement, enterprise asset management and analytics platforms to align delivery with governance

What you'll bring:

• Strong enterprise data architecture experience, including conceptual, logical and canonical data modelling
• Proven capability in metadata, lineage management, source-to-target mapping and data quality
• Experience designing reusable data products with standards and governance frameworks
• Ability to translate fragmented OT source structures into business-meaningful, consistent models
• Confidence collaborating across architecture, engineering, operations and data teams-communicating clearly to technical and non-technical stakeholders
• Comfort operating in ambiguity, shaping practical solutions and challenging constructively to drive consistency

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