Data Lead/Architect

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. Data Strategy & Assessment 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. 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. Advanced programming skills, particularly in Python and Perl; familiarity with shell scripting and object-oriented languages (e.g., Java, JavaScript). Deep understanding of relational databases, data modelling principles, and entity relationship design. Practical experience with network design platforms and GIS/CAD tools (e.g., Experience with business requirement analysis and the development of reporting and analytics structures. Strong knowledge of data privacy regulations and practices. Proven ability to design repeatable and automated data solutions. 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.