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

JR United Kingdom; Chelmsford; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading GIS/Geo-spatial SaaS business is seeking an experienced Data Architect to enhance their projects in the Telco & Utilities sectors. The ideal candidate will collaborate with clients to ensure data integrity, design robust ETL pipelines, and maintain compliance with privacy regulations. With a focus on transforming datasets and automating processes, this role requires strong technical expertise and effective communication skills.

Qualifications

• Significant experience in relevant technical fields may substitute for a formal IT-related degree.
• Proficiency in data mining and manipulation of both structured and unstructured data.
• Strong knowledge of data privacy regulations.

Responsibilities

• Design GIS data models aligned with business objectives.
• Develop ETL pipelines using industry-standard tools.
• Create and maintain documentation of data architectures.

Skills

Data Governance

Communication Skills

Analytical Skills

Data Modeling

ETL Development

Customer Service

Technical Collaboration

Education

Bachelor’s or advanced degree in computer science, engineering, information systems, or a business/technology hybrid program

Tools

SAFE FME

GIS/CAD Tools

Job description

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Job Views:

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Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Zearch are partnering with a leading GIS/Geo-spatial SaaS business and hiring for an experienced Data Architect to work on some top priority projects in the Telco & Utilities sectors.

• Collaborate directly with clients to evaluate the technical quality and business value of their datasets, performing detailed assessments to audit critical data elements.
• Assist clients in defining processes for data governance, ensuring data accuracy, completeness, and integrity across systems.
• Conduct comprehensive reviews of client systems to understand the structure and flow of customer interaction and life-cycle data.

GIS Data Modeling & Transformation

• Design GIS data models aligned with the client’s business objectives, transforming existing data structures using tools such as Python, Perl, Safe FME, and proprietary transformation utilities.
• Translate complex datasets into standardized formats that support scalable, automated transformation workflows.
• Establish automated ingestion processes to collect and process client data, triggering transformation routines as needed.

Documentation & Compliance

• Create and maintain detailed documentation of data architectures, model configurations, and data transfer processes.
• Ensure alignment with privacy and security compliance requirements, including standards such as PII, PCI, PI, FERC, and CPNI, based on project-specific guidelines.

Deployment & Operational Support

• Serve as a key contributor on deployment teams, driving successful implementation of new data models for client-facing applications.
• Partner with client stakeholders to prioritize and select data sources based on assessment outcomes and overarching business goals.
• Ensure all data collection and transfer methods are clearly documented and meet current best practices and internal standards.
• Work closely with project managers and technical leads to integrate new enterprise data sources into ongoing projects.

ETL Development

• Develop robust, automated ETL (Extract, Transform, Load) pipelines using industry-standard tools and frameworks, prioritizing scalability, reliability, and fault tolerance.
• Strong background in data architecture, large-scale data modelling, and extracting business insights from raw data.
• Proficiency in data mining and manipulation, with both structured and unstructured data.
• Deep understanding of relational databases, data modelling principles, and entity relationship design.
• Practical experience with network design platforms and GIS/CAD tools (e.g., Smallworld, ESRI, 3GIS, Bentley, Hexagon, Crescent Link, CadTel, etc.).
• Experience with business requirement analysis and the development of reporting and analytics structures.
• Familiarity with ETL solutions, including experience with SAFE FME, is highly desirable.
• Strong knowledge of data privacy regulations and practices.
• Exposure to analytics and reporting tools is considered a plus.

General Qualifications

• Excellent communication skills, including executive presence in customer-facing roles.
• Strong interpersonal skills, with a focus on customer service and collaboration.
• Analytical mindset with exceptional attention to detail.
• Effective time manager with the ability to meet deadlines in fast-paced environments.
• Proven ability to design repeatable and automated data solutions.
• Adaptable and resilient under pressure.

Education & Background

• Bachelor’s or advanced degree in computer science, engineering, information systems, or a business/technology hybrid program (e.g., E&M, MBA).
• Significant experience in relevant technical fields may substitute for a formal IT-related degree.