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Forward Deployment Engineer – AI Data Platforms & Data Spaces at NTT India Digital Business Solutions Private Limited · Katori

Asks for

The ad says“Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate delivery while maintaining high quality and security standards.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.”
The ad says“Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Experience with sovereign data ecosystems and interoperability frameworks such as GAIA-X, IDSA, and DSIF, with the ability to innovate beyond reference implementations to deliver customized business solutions.”
The ad says“Proven experience designing and implementing enterprise data platforms, AI data layers, and sovereign data spaces.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Experience with sovereign data ecosystems and interoperability frameworks such as GAIA-X, IDSA, and DSIF, with the ability to innovate beyond reference implementations to deliver customized business solutions.”
The ad says“Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.”
The ad says“Experience with sovereign data ecosystems and interoperability frameworks such as GAIA-X, IDSA, and DSIF, with the ability to innovate beyond reference implementations to deliver customized business solutions.”
The ad says“Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.”
The ad says“Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.”
The ad says“Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.”
The ad says“Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.”
The ad says“Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.”
The ad says“Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.”
The ad says“Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.”
The ad says“Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.”

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

We are looking for a Forward Deployment Engineer specializing in AI Data Platforms and Data Spaces to help customers accelerate their AI transformation. You will work directly with clients to understand business challenges, assess their digital and data ecosystems, and design innovative AI-ready data platforms and sovereign data spaces that enable scalable AI solutions.

Key Responsibilities

Engage with customers to identify business challenges, data opportunities, and AI use cases.
Assess enterprise data ecosystems, applications, infrastructure, and digital maturity.
Define roadmaps for AI-native transformation, focusing on AI-ready data platforms and sovereign data spaces.
Design, develop, and deploy production-ready data platforms, data spaces, and rapid Proofs of Value (PoVs).
Architect modern enterprise data solutions, including data lakes, lakehouses, data warehouses, and federated data spaces.
Design scalable ETL/ELT pipelines, API-driven integrations, streaming architectures, and AI-ready data layers.
Build innovative data space solutions that extend standards such as GAIA-X, IDSA, and DSIF to address customer-specific business requirements.
Recommend the most appropriate technologies, architectures, and engineering practices for each customer, remaining technology-agnostic while leveraging AI-assisted development to accelerate delivery.
Ensure solutions are secure by design, scalable, maintainable, and aligned with enterprise governance and compliance requirements.
Collaborate with AI Engineers, Solution Architects, and business stakeholders to deliver measurable business outcomes.

Requirements

5+ years of experience as a Forward Deployment Engineer, Data Platform Engineer, Data Architect, Solutions Engineer, or similar customer-facing role focused on enterprise data platforms.
Proven experience designing and implementing enterprise data platforms, AI data layers, and sovereign data spaces.
Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems.
Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs.
Experience with sovereign data ecosystems and interoperability frameworks such as GAIA-X, IDSA, and DSIF, with the ability to innovate beyond reference implementations to deliver customized business solutions.
Broad knowledge of modern cloud, hybrid, and enterprise technologies, with the ability to rapidly learn, evaluate, and adopt emerging tools and platforms.
Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.
Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate delivery while maintaining high quality and security standards.
Excellent consulting, communication, stakeholder management, and problem-solving skills.

What Success Looks Like

You are a customer-facing technology expert who combines deep knowledge of enterprise data platforms with strong consulting and engineering skills. You rapidly assess customer environments, architect innovative AI-ready data platforms and sovereign data spaces and deliver production-ready solutions that go beyond standard implementations. You are technology-agnostic, learn new technologies quickly, and leverage AI intelligently to build customized solutions that maximize business value.

Workplace type:

Hybrid Working

About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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