Parsons
infrastructure, utilities, or urban environments
DataArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Architect at Parsons. Skills: Data Architecture, Data Modelling, Digital Twin Platform, Geospatial Data Integration, Time-Series Data Integration, Asset Information Management. Define and maintain data and information architecture for the Operational Digital Twin.. Assess the quality and fitness-for-purpose of data being ingested.”
What You'll Achieve.
Enable data-driven planning, operations, and maintenance.; Ensure the Digital Twin platform has a coherent, scalable, and well-governed data foundation across all key use cases.; Ensure models support accurate, consistent, and trusted data.; Align data models and quality rules with governance policies, ownership, and control frameworks.
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
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., 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.
Nice to Have
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., Fluency in spoken and written Arabic language skills are a advantage.
What You'll Do.
Define and maintain data and information architecture for the Operational Digital Twin.
Assess the quality and fitness-for-purpose of data being ingested.
Develop logical and physical data models for core domains.
Design data flows and integration patterns between the Digital Twin platform and enterprise/operational systems.
Perform data profiling and quality assessment on source and ingested datasets.
Produce recommendations and requirements for addressing data-quality deficiencies.
Support data-modelling and schema decisions for storage and access across different technologies.
Assist in defining and documenting data dictionaries
Align data models and quality rules with governance policies
and control frameworks.
Prepare and maintain data-architecture and integration documentation.
Support related design reviews.
How You'll Work.
Team & Collaboration
Work closely with the Solution Architect, Data Governance SME, GIS Development Lead, and a team of international experts, developers, and engineers.; Collaborate with the Integration Lead and Programmer (API).; Support design reviews with Parsons and client stakeholders.; Collaborate closely with data-governance and cybersecurity teams.
Communication Scope
Excellent communication skills; Ability to clearly explain data structures, flows, and trade-offs to both technical and non-technical stakeholders.
Process & Methodology
Experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid).
Full Job Description
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible. _**Job Description:**_ Parsons is seeking a **Data Architect** to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will work closely with the Solution Architect, Data Governance SME, GIS Development Lead, and a team of international experts, developers, and engineers. The scope spans discovery and stakeholder engagement, data and information architecture design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The Data Architect will help define and maintain data and information models, support design of data flows and integration patterns, contribute to master and reference data management, and assist in ensuring that the Digital Twin platform has a coherent, scalable, and well-governed data foundation across all key use cases. **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 an
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