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NTT DATA Logo NTT DATA · IT - Software Development

Senior Data/AI Technical Architect

South Africa, Johannesburg · Job Posted July 04, 2026
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Job Description

We are seeking a highly experienced Senior AI and Data Cloud Architect to partner with enterprise sales, consulting, and delivery teams in designing, positioning, and governing AI, Data, and Cloud solutions for clients across South Africa and the Middle East & Africa. This role serves as the senior technical leader for AI and Data architecture engagements, providing strategic guidance, pre-sales leadership, solution architecture, and technical governance across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). The successful candidate will act as a trusted advisor to clients and internal stakeholders, translating business objectives into enterprise-grade AI, analytics, data platform, and cloud-native architectures. The role combines deep technical expertise with strong commercial acumen to support solution development, business growth, cloud transformation programs, AI adoption initiatives, and large-scale data modernization engagements.

Job Responsibility

  • Lead pre-sales solutioning activities for AI, Data, Analytics, and Cloud opportunities, including client workshops, discovery sessions, solution shaping, proposals, 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 supporting AI, Generative AI, Machine Learning, Advanced Analytics, Data Engineering, and Data Governance use cases
  • Define target-state architectures covering data platforms, AI platforms, cloud infrastructure, networking, security, identity, observability, automation, governance, and operational excellence
  • Architect modern data platforms including data lakes, lakehouses, data warehouses, streaming platforms, and real-time analytics solutions
  • Design and govern enterprise AI solutions including Machine Learning Operations (MLOps), Generative AI architectures, Retrieval-Augmented Generation (RAG), vector databases, AI governance, and responsible AI frameworks
  • Provide architectural leadership for cloud migration, data modernization, application modernization, containerization, and platform transformation initiatives
  • Promote Infrastructure as Code (IaC), platform engineering, DevOps, DataOps, and MLOps best practices using Terraform and cloud-native automation capabilities
  • Collaborate with engineering, security, data, AI, and application teams to implement cloud-native architectures and automation strategies
  • Drive cloud security, compliance, governance, FinOps, and responsible AI best practices across client engagements
  • Perform architecture reviews and provide technical oversight throughout solution delivery
  • Act as a trusted advisor to executive, business, and technical stakeholders, translating complex technical concepts into business value
  • Mentor architects, consultants, and engineers while contributing to AI, Data, and Cloud capability development and thought leadership
  • Stay current with emerging AI technologies, hyperscaler innovations, cloud-native platforms, and industry trends

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
  • Minimum 5 years of experience 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
  • Strong knowledge of cloud services including: Azure: Azure AI Services, Azure OpenAI, Fabric, Synapse, Databricks, Data Factory, AKS, Azure SQL, Cosmos DB, AWS: SageMaker, Bedrock, Redshift, Glue, EMR, EKS, Lambda, DynamoDB, Google Cloud: Vertex AI, BigQuery, Dataflow, Dataproc, GKE, Cloud Run, Cloud Storage
  • Strong experience with Kubernetes, containers, microservices, serverless platforms, and cloud-native application patterns
  • Hands-on expertise with Infrastructure as Code using Terraform and cloud automation frameworks
  • Experience implementing data governance, data quality, security, privacy, and compliance frameworks
  • Strong understanding of DevOps, DataOps, MLOps, CI/CD pipelines, Git, and platform engineering practices
  • Excellent communication, stakeholder management, solution presentation, and architecture documentation skills

Nice to have

  • Microsoft Azure Solutions Architect Expert, Azure AI Engineer Associate, AWS Solutions Architect Professional, Google Cloud Professional Cloud Architect, or equivalent certifications
  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and AI governance frameworks
  • Experience with Databricks, Snowflake, Microsoft Fabric, Confluent Kafka, or other modern data platform technologies
  • Experience with observability and monitoring platforms such as Datadog, Grafana, Prometheus, OpenSearch, Splunk, or Dynatrace
  • Experience with cloud financial management (FinOps), cost optimization, and cloud governance frameworks
  • Background in software engineering or development using Python, Java, .NET, JavaScript, or related technologies
  • Experience leading large-scale enterprise transformation, AI adoption, and data modernization programs
  • Experience supporting executive-level client engagements, solution workshops, and strategic technology advisory services
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