At a Glance
- Tasks: Design and maintain cutting-edge data architecture for innovative projects.
- Company: Join a forward-thinking company leading in data transformation.
- Benefits: Attractive salary, health perks, remote work options, and growth opportunities.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Shape the future of data architecture and make a real impact.
- Qualifications: Experience in data modelling and strong communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
Your 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.
- 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
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
Technical Data Architect in Coventry employer: Tcs Uk
As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
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We think you need these skills to ace Technical Data Architect in Coventry
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