Technical Data Architect

The Technical Data Architect will be responsible for defining and implementing the target-state data architecture to support 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.

• 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.
• 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.
• 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.

• 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.

• 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.

• 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.

• Asset Information Management
• Telemetry, IoT, SCADA & Operational Data Integration
• Data Governance Frameworks
• Master Data Management (MDM)
• Data Quality Management

• Data Health Frameworks (AQU)
• Data Compliance & Audit Controls
• Data Lifecycle Management

• 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.

• 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.