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Senior Data Architect - Leading GIS/Geo-spatial Telco SaaS Business

JR United Kingdom

Peterborough

On-site

GBP 60,000 - 90,000

Full time

5 days ago
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Job summary

A leading GIS/Geo-spatial SaaS business in Peterborough is seeking a Senior Data Architect to lead priority projects in the Telco & Utilities sectors. You will collaborate with clients to ensure data accuracy, develop ETL processes, and create documentation for data architectures. This role requires strong analytical skills and teamwork in a dynamic environment, providing an opportunity to significantly impact client solutions and company success.

Qualifications

  • Strong background in GIS data modeling and ETL development.
  • Experience working with structured and unstructured data.
  • Ability to design automated data solutions.

Responsibilities

  • Collaborate with clients to ensure data quality and integrity.
  • Design GIS data models and deployment support.
  • Develop scalable, reliable ETL pipelines.

Skills

Communication
Analytical mindset
Time management
Attention to detail
Collaborative skills

Education

Bachelor’s or higher degree in computer science or engineering

Tools

Python
Perl
Safe FME
ESRI
Smallworld

Job description

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Senior Data Architect - Leading GIS/Geo-spatial Telco SaaS Business, Peterborough

Client:

Location: Peterborough, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 4

Posted: 31.05.2025

Expiry Date: 15.07.2025

Job Description:

Zearch is partnering with a leading GIS/Geo-spatial SaaS business to hire an experienced Data Architect for top priority projects in the Telco & Utilities sectors.

  • Collaborate with clients to evaluate data quality and business value, performing detailed audits of critical data elements.
  • Assist in defining data governance processes to ensure data accuracy, completeness, and integrity across systems.
  • Review client systems to understand data flow and customer interaction lifecycle.
GIS Data Modeling & Transformation
  • Design GIS data models aligned with business objectives, transforming data using tools like Python, Perl, Safe FME, and proprietary utilities.
  • Standardize datasets to support scalable, automated workflows.
  • Establish automated data ingestion and transformation routines.
Documentation & Compliance
  • Create detailed documentation of data architectures and transfer processes.
  • Ensure compliance with privacy and security standards such as PII, PCI, PI, FERC, and CPNI.
Deployment & Operational Support
  • Contribute to deployment teams for implementing new data models.
  • Partner with stakeholders to prioritize data sources based on assessments and business goals.
  • Document data collection and transfer methods, ensuring adherence to standards.
  • Integrate new data sources into ongoing projects with project teams.
ETL Development
  • Develop scalable, reliable ETL pipelines using industry-standard tools.
  • Leverage expertise in data architecture, modeling, and deriving insights.
  • Manipulate both structured and unstructured data.
  • Design relational databases and data models.
  • Experience with GIS/CAD tools like Smallworld, ESRI, Bentley, Hexagon, etc.
  • Develop reporting and analytics structures, with familiarity in FME preferred.
  • Ensure data privacy compliance and explore analytics/reporting tools as a plus.
General Qualifications
  • Excellent communication and customer-facing skills.
  • Strong interpersonal and collaborative skills.
  • Analytical mindset with attention to detail.
  • Effective time management in fast-paced environments.
  • Ability to design automated data solutions.
  • Resilient and adaptable under pressure.
Education & Background
  • Bachelor’s or higher degree in computer science, engineering, or related fields; significant experience may substitute for formal education.
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