Data Architect Operational Digital Twin

Overview

Data Architect

What You ll Be Doing

• Support the Solution Architect and Product Manager in defining and maintaining the data and information architecture for the Operational Digital Twin across discovery, PoC, implementation, and post-implementation support phases, including assessing the quality and fitness-for-purpose of data being ingested.
• Assist in developing logical and physical data models for core domains (e.g., assets, networks, locations, work orders, sensors, events), including relationships with geospatial, time-series, and document/BIM data, ensuring models support accurate, consistent, and trusted data.
• Help design data flows and integration patterns between the Digital Twin platform and enterprise/operational systems (e.g., EAM/CMMS, ERP, BIM, SCADA/IoT, GIS, data warehouses/lakes), in collaboration with the Integration Lead and Programmer (API), including defining validation checks and quality rules for ingested data.
• Perform data profiling and quality assessment on source and ingested datasets to identify data-quality issues (e.g., missing, inconsistent, duplicate, or out-of-range values), and evaluate their impact on the Operational Digital Twin use cases.
• Produce clear recommendations and requirements for business and technical teams on how to address identified data-quality deficiencies (e.g., source-system corrections, cleansing rules, enrichment, standardisation, additional controls), and track the implementation and effectiveness of these measures.
• Support data-modelling and schema decisions for storage and access across different technologies (relational, time-series, geospatial, and NoSQL/analytical stores), ensuring alignment with performance, scalability, and defined data-quality thresholds.
• Assist the Data Governance SME in defining and documenting data dictionaries, business glossaries, and metadata, and in aligning data models and quality rules with governance policies, ownership, and control frameworks.
• Help prepare and maintain data-architecture and integration documentation, including models, interface specifications, lineage views, data-quality rules, and design decision records, and support related design reviews with Parsons and client stakeholders.

What Required Skills You ll Bring

• Degree in information management, computer science, engineering, or a related technical discipline from an accredited institution.
• Experience contributing to data-architecture or data-modelling activities for large-scale digital, platform, or analytics solutions, preferably in infrastructure, utilities, or urban environments.
• Working knowledge of data-modelling techniques and patterns, including conceptual, logical, and physical models, and experience with at least one mainstream data-modelling or diagramming tool.
• Basic understanding of geospatial, time-series, and asset/network data, and of how these are used in operational and analytical use cases.
• Exposure to enterprise and operational systems such as EAM/CMMS, ERP, BIM, SCADA/IoT platforms, GIS, and data warehouses/lakes, and to common data-integration approaches.
• Experience working within multidisciplinary, multinational teams across multiple time zones.
• Strong analytical, organisational, and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid).
• Exposure to testing, acceptance, or go-live activities for data platforms or data-heavy solutions.
• Excellent communication and documentation skills, with the ability to clearly explain data structures, flows, and trade-offs to both technical and non-technical stakeholders.
• Fluency in spoken and written English; Arabic language skills are a strong advantage.

What Desired Skills You ll Bring

• Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations.
• Experience working on Digital Twin, smart city, or advanced analytics programmes with complex geospatial and time-series data.
• Familiarity with modern data-platform and lakehouse architectures, and with cloud data services on platforms such as Azure or AWS.
• Experience working with data-governance frameworks and tools, and collaborating closely with data-governance and cybersecurity teams.
• Professional certifications in data management, architecture, or cloud data technologies.