Forward Deployment Engineer – AI Data Platforms & Data Spaces

NTT
Paris
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Consulting","Communication","Stakeholder management","Problem-solving"]

Partner with customers to accelerate AI transformation by assessing enterprise data ecosystems and digital maturity. You will design and deploy AI-ready data platforms and sovereign data spaces, including data lakes, lakehouses, warehouses, federated data spaces, and API-driven integrations. Define AI-native transformation roadmaps, deliver production-ready solutions and PoVs, and ensure designs are secure-by-design, scalable, and aligned with governance and compliance using modern engineering practices.

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FursaFursa
NTT
NTT
1 week ago

Forward Deployment Engineer – AI Data Platforms & Data Spaces

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Partner with customers to accelerate AI transformation by assessing enterprise data ecosystems and digital maturity. You will design and deploy AI-ready data platforms and sovereign data spaces, including data lakes, lakehouses, warehouses, federated data spaces, and API-driven integrations. Define AI-native transformation roadmaps, deliver production-ready solutions and PoVs, and ensure designs are secure-by-design, scalable, and aligned with governance and compliance using modern engineering practices.
Location: Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Engage with customers to identify business challenges, data opportunities, and AI use cases.
  • •Assess enterprise data ecosystems, including applications, infrastructure, and digital maturity.
  • •Define roadmaps for AI-native transformation centered on AI-ready data platforms and sovereign data spaces.
  • •Design, develop, and deploy production-ready data platforms, data spaces, and rapid PoVs.
  • •Architect and deliver secure, scalable, and maintainable enterprise data solutions using modern integration and pipeline patterns while collaborating with AI engineers and solution architects.

Key Requirements

  • •5+ years in a forward deployment/customer-facing role focused on enterprise data platforms (e.g., Data Platform Engineer, Data Architect, Solutions Engineer).
  • •Experience designing and implementing enterprise data platforms, AI data layers, and sovereign data spaces.
  • •Expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation/virtualization, APIs, event-driven architectures, and distributed data systems.
  • •Knowledge of AI-ready data architectures for analytics, machine learning, generative AI, RAG, vector databases, and knowledge graphs.
  • •Experience with sovereign data ecosystems and interoperability frameworks such as GAIA-X, IDSA, and DSIF; ability to adapt beyond reference implementations.
Experience:5+ yearsEnterprise data platformsSovereign data spacesData federationData virtualizationAI transformation
Skills:ConsultingCommunicationStakeholder managementProblem-solving
Tech Stack:GAIA-XIDSADSIFETL/ELTAPIsEvent-driven architecturesData lakesLakehousesData warehousesData federationData virtualizationStreaming architecturesVector databasesKnowledge graphsRetrieval-Augmented Generation (RAG)ContainerizationInfrastructure automationCI/CDDataOpsMLOps

Company Brief

NTT
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