Data Architect

We do have a position for Geospatial Data Architect Please find the details below and if interested please send me your updated word format resume. If this position does not match your exact skills, perhaps you know of someone with the required skills and availability, if so, please feel free to forward this e-mail to them.

Job Role : Geospatial Data Architect
Location : Houston, TX (Day 1 Onsite)
Mode of interview : Skype, Video/Telephonic
Job Roles/Responsibilities:
Key Responsibilities:

• Design and architect enterprise geospatial data models and solutions.
• Assess and modernize existing geospatial data architectures and workflows.
• Define best practices for storing, processing, managing, and visualizing geospatial data.
• Architect solutions for integrating multiple geospatial data sources, including: LiDAR datasets Satellite imagery Shape files CAD-based datasets (TLS CAD, PLS-CADD) Other structured and unstructured spatial data sources
• Provide guidance on converting and integrating traditional two-dimensional data into geospatially enabled systems.
• Collaborate with business and technical stakeholders to understand requirements and recommend scalable architecture solutions.
• Define data engineering approaches for geospatial data ingestion, transformation, storage, and analytics.
• Evaluate emerging geospatial technologies and recommend enhancements to improve data quality, accessibility, and business value.
• Develop architectural roadmaps and implementation strategies for geospatial initiatives.
• Present industry best practices, lessons learned, and successful geospatial use cases.

Required Qualifications 10+ years of experience in Data Architecture, GIS, or Geospatial Engineering. Strong experience designing enterprise geospatial data architectures. Hands-on experience working with: LiDAR data Satellite imagery Shape files and spatial datasets Spatial databases and geospatial data models Data engineering and integration frameworks Experience integrating multiple geospatial and non-geospatial data sources. Strong understanding of geospatial data lifecycle management, governance, and scalability. Knowledge of CAD-based utility or infrastructure models, including TLS CAD and PLS-CADD. Ability to communicate architectural concepts to technical and business audiences. Proven ability to lead architecture discussions and recommend strategic solutions.
Preferred Qualifications Experience in utility, energy, telecommunications, or infrastructure industries. Knowledge of modern GIS platforms such as ArcGIS Enterprise and related geospatial ecosystems. Experience with cloud-based geospatial architectures. Familiarity with geospatial analytics, digital twins, and enterprise GIS modernization initiatives.

For applications and inquiries,