Senior Data Architect – Geospatial

4 days ago

Johannesburg Gauteng South Africa Sabenza IT & Recruitment Full time

We are seekinga Senior Data Architect to design and optimize our geospatial datainfrastructure, ensuring scalability, performance, and seamless integrationwith telco systems.RoleOverview: As a SeniorData Architect, you will be responsible for defining the technical vision andarchitecture for geospatial data pipelines and storage. You will work closelywith data engineers, product owners, and telco system teams to ensure data isstructured, accessible, and reliable for advanced analytics and operationalapplications. KeyResponsibilities:·       Designand implement scalable data architectures for geospatial datasets, includingingestion, storage, processing, and retrieval.·       Developdata models, pipelines, and frameworks to integrate geospatial and telco dataefficiently.·       Ensuredata quality, governance, and security across all geospatial data assets.·       Collaboratewith cross -functional teams to translate business requirements into technicalsolutions.·       Evaluateand recommend emerging technologies and tools for geospatial data managementand analytics.·       Providetechnical leadership and guidance to data engineering teams.·       Optimizeexisting data architectures for performance, scalability, and cost efficiency. RequirementsRequiredQualifications:·       Bachelor'sor Master's degree in Computer Science, Information Systems, GIS, or relatedfield.·       7+years of experience in data architecture, with a focus on geospatial ortelecommunications data.·       Strongexpertise in cloud -based data storage and processing solutions (AWS, Azure,GCP).·       Hands -onexperience with geospatial databases and tools (PostGIS, GeoServer, QGIS, orsimilar).·       Proficiencyin ETL/ELT processes and data pipeline frameworks (Apache Spark, Kafka,Airflow).·       Solidunderstanding of telco systems, network data, and related protocols.·       Knowledgeof data modeling, governance, and security best practices.·       Excellentproblem -solving, communication, and stakeholder management skills. PreferredSkills:·       Experiencewith real -time geospatial data processing.·       Familiaritywith AI/ML integration for geospatial analytics.·       Certificationsin cloud platforms, data architecture, or GIS systems.

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