Gazelle Global
Technical Data Architect
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Technical Data Architect
Coventry / Hybrid
Contract
The Technical Data Architect will be responsible for defining and implementing the target-state data architecture to support Severn Trent's Digital Twin, Asset Intelligence, and Enterprise Data Transformation initiatives. The role will focus on establishing a robust Unified Namespace (UNS), enabling seamless integration of asset, geospatial, telemetry, operational, historical, and real-time data across the enterprise. The individual will drive data governance, architecture standards, data quality frameworks, and interoperability capabilities to ensure trusted, accessible, and business-ready data assets.
Responsibilities
Data Architecture & Strategy
- Design and maintain enterprise-wide target-state data architecture for Asset, Geospatial, Telemetry, and Operational Data.
- Develop logical and physical data models aligned with Digital Twin and enterprise transformation objectives.
- Define architecture roadmaps and standards to support scalable and future-ready data platforms.
- Establish data integration patterns supporting batch, streaming, and real-time data processing.
Unified Namespace (UNS) Architecture
- Define and implement the Unified Namespace (UNS) architecture and operating model.
- Establish data structures, naming conventions, taxonomies, governance standards, and integration principles.
- Develop configuration management processes, automation frameworks, and deployment standards for UNS environments.
- Define source-system onboarding standards and data mapping approaches across enterprise systems.
Data Integration & Engineering
- Design approaches for extracting, transforming, and integrating static, dynamic, historical, and real-time data sources.
- Develop processes and tooling to automate creation, validation, deployment, and maintenance of UNS configurations.
- Ensure interoperability across operational technology (OT), information technology (IT), GIS, SCADA, IoT, and enterprise platforms.
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Digital Twin & Data Standards
- Develop and maintain enterprise data standards for Asset Data, Geospatial Data, and Telemetry Data.
- Support Digital Twin initiatives through common data models, metadata standards, governance artefacts, and cataloguing capabilities.
- Define interoperability requirements across platforms and business domains.
- Establish enterprise master data and reference data standards.
Data Quality, Governance & Compliance
- Lead implementation of the AQU (Availability, Quality, Usability) Data Health Framework.
- Define data quality metrics, assessment methodologies, monitoring controls, and reporting mechanisms.
- Develop dashboards, scorecards, and executive reporting to measure data health and maturity.
- Identify authoritative data sources, ownership structures, and governance responsibilities.
- Drive data audit, compliance, remediation, and continuous improvement activities.
Stakeholder Collaboration
- Work closely with Data Stewards, Asset SMEs, GIS teams, Operational Technology teams, Solution Architects, and business stakeholders.
- Facilitate data governance forums and architecture review boards.
- Provide leadership, mentoring, and guidance on enterprise data architecture best practices.
- Support strategic decision-making through data architecture recommendations and roadmap planning.
Your Profile
Essential skills/knowledge/experience:
- Data Modelling (Logical, Physical, Conceptual)
- Unified Namespace (UNS) Architecture
- Digital Twin Architecture
- Asset Information Management
- Geospatial Data Architecture (ArcGIS, GIS Platforms)
- Telemetry, IoT, SCADA & Operational Data Integration
- Real-Time Data Processing & Streaming Architectures
- Data Governance Frameworks
- Metadata Management & Data Cataloguing
- Master Data Management (MDM)
- Data Quality Management
- Azure Data Platform (Azure Data Lake, Data Factory, Event Hub, Databricks, Synapse, Fabric)
- API & Integration Architecture
- SQL & Data Engineering Practices
- Enterprise Architecture Frameworks (TOGAF preferred)
- Governance & Analytics
- Data Health Frameworks (AQU)
- Data Lineage & Data Provenance
- Data Compliance & Audit Controls
- Data Lifecycle Management
- KPI, Scorecard & Executive Dashboard Design
- Data Risk Management
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Soft Skills
- Strong stakeholder management and communication skills.
- Ability to influence senior business and technical leaders.
- Strategic thinking with strong problem-solving capability.
- Experience leading cross-functional architecture initiatives.
- Excellent documentation and presentation skills.
- Ability to translate complex technical concepts into business outcomes.
Preferred Experience
- 10+ years of experience in Data Architecture, Enterprise Data Management, or Digital Transformation roles.
- Proven experience implementing Unified Namespace (UNS) or Industrial Data Platforms.
- Experience in Utilities, Water, Energy, Manufacturing, or Infrastructure sectors.
- Experience delivering Digital Twin, Asset Intelligence, Smart Operations, or IoT transformation initiatives.
- Strong exposure to Azure Cloud, GIS platforms, telemetry systems, and operational technologies.
Desirable skills/knowledge/experience:
- Utilities experience
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