Senior Data AI Technical Architect

Dimension Data
South Africa
Workplace: HybridFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Architecture documentation","Mentoring","Technical advisory"]

Serve as the senior AI and data cloud architecture leader for enterprise engagements, partnering with sales, consulting, and delivery teams to design and govern client solutions. Lead pre-sales solutioning, translate business objectives into AI/analytics/data platform and cloud-native architectures, and define target-state designs across governance, security, observability, and cost optimization. Architect platforms and AI capabilities (including MLOps, GenAI, RAG), drive modernization and migrations, and mentor technical teams.

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FursaFursa
Dimension Data
Dimension Data
2 months ago

Senior Data AI Technical Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 days agoStatus: Live

Job Summary

Serve as the senior AI and data cloud architecture leader for enterprise engagements, partnering with sales, consulting, and delivery teams to design and govern client solutions. Lead pre-sales solutioning, translate business objectives into AI/analytics/data platform and cloud-native architectures, and define target-state designs across governance, security, observability, and cost optimization. Architect platforms and AI capabilities (including MLOps, GenAI, RAG), drive modernization and migrations, and mentor technical teams.
Location: South Africa
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead pre-sales solutioning for AI, data, analytics, and cloud opportunities, including workshops, discovery, proposal and RFP/RFI responses, and executive presentations.
  • •Develop end-to-end AI and data platform architectures leveraging Azure, AWS, and Google Cloud services.
  • •Design scalable, secure, resilient, and cost-optimized cloud-native solutions for AI/GenAI, ML, advanced analytics, data engineering, and data governance use cases.
  • •Architect and govern enterprise AI solutions including MLOps, Generative AI, Retrieval-Augmented Generation (RAG), vector databases, and responsible AI frameworks.
  • •Provide architectural leadership for cloud migration and modernization initiatives, conduct architecture reviews, and mentor architects, consultants, and engineers.

Key Requirements

  • •Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
  • •10+ years of experience in enterprise architecture, cloud architecture, data platforms, analytics, or digital transformation.
  • •At least 5 years designing cloud-native solutions on Azure, AWS, and/or Google Cloud.
  • •Proven experience supporting pre-sales, solution consulting, business development, and complex sales pursuits.
  • •Deep expertise in enterprise data architectures, analytics platforms, AI/ML solutions, and cloud-native technologies.
Experience:10+ yearsEnterprise architectureCloud architectureData platformsAnalyticsDigital transformationPre-salesSolution consultingAI/MLCloud-nativeData modernization
Education:Bachelor's
Skills:CommunicationStakeholder managementArchitecture documentationMentoringTechnical advisory
Certifications:Microsoft Azure Solutions Architect ExpertAzure AI Engineer AssociateAWS Solutions Architect ProfessionalGoogle Cloud Professional Cloud Architect
Tech Stack:Microsoft AzureAzure AI ServicesAzure OpenAIFabricSynapseDatabricksData FactoryAKSAzure SQLCosmos DBAmazon Web Services (AWS)SageMakerBedrockRedshiftGlueEMREKSLambdaDynamoDBGoogle Cloud Platform (GCP)

Company Brief

Dimension Data
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn