NTT DATA, Inc.Cloud Technical Architect (AWS)
Make an impact with NTT DATAJoin 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.
ABOUT THE ROLE
We are building a team of cloud architects who are engineers first — people who have shipped production software, built pipelines, and automated infrastructure. If you are excited about applying AI and GenAI in practical, real-world scenarios rather than just talking about it, this role is for you.
You will lead cloud architecture and modernization engagements, from design through delivery. Beyond cloud infrastructure, you will bring depth in data platform architecture and an enthusiasm for integrating AI tools into the way engineering teams work every day — accelerating development, improving observability, and enabling smarter decision-making.
This is a professional services role. We sell expertise and outcomes. You will be working directly with account management teams as a trusted technical advisor and hands-on implementer.
WHAT YOU WILL DO
Cloud Architecture & Modernization
Design and implement cloud-native architectures on AWS across compute, networking, storage, and security
Lead end-to-end cloud migration and modernization projects — from current-state assessment to production delivery
Define infrastructure standards using Terraform, GitOps methodologies and etc.
Conduct architecture reviews, Well-Architected assessments, and FinOps optimization sessions
DevOps & Platform Engineering
Build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, ArgoCD, or similar tooling
Design internal developer platforms that improve engineering velocity and reduce cognitive overhead
Implement observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry) for production systems
Advise clients on SRE practices, incident management, and platform reliability
Data Platform
Architect modern data platforms on AWS — data lakes, lakehouses, streaming pipelines, and analytics layers
Design and implement data infrastructure using services such as S3, Glue, Redshift, EMR, Kinesis, or MSK
Define data governance, cataloguing, and quality frameworks for enterprise clients
Bridge the gap between data engineering and cloud infrastructure — ensuring platforms are scalable, cost-efficient, and production-ready
AI / GenAI Integration
Identify practical opportunities to apply GenAI and LLM tools within client engineering workflows
Prototype and implement AI-assisted tooling — code review agents, documentation generators, incident responders, or data query assistants
Advise on AWS AI/ML services: Bedrock, SageMaker, Kendra, Q Developer, and related tooling
Build internal knowledge and best practices around responsible and effective use of AI in cloud consulting
WHAT WE'RE LOOKING FOR
Must-Have Skills
5+ years of hands-on experience in software engineering, DevOps, or platform engineering
Strong AWS proficiency — EKS, Lambda, RDS, VPC, IAM, S3, and related services
Production-level Terraform experience — modules, remote state, CI/CD integration
Software development background in Python, Go, or similar language; comfortable writing automation and tooling
Kubernetes experience — deploying, operating, and troubleshooting clusters in production
Experience architecting or building data platforms — pipelines, lakes, warehouses, or streaming systems
Track record of leading or contributing to cloud migration or modernization projects
Nice-to-Have
AWS certification: Solutions Architect Professional, Data Engineer Associate, or ML Specialty
Hands-on experience with AWS AI/ML services: Bedrock, SageMaker, or Q Developer
Experience building LLM-powered applications, RAG pipelines, or AI agents
Background in consulting, professional services, or client-facing technical roles
Familiarity with data governance frameworks, data mesh concepts, or dbt
Experience with Apache Spark, Flink, Kafka, or similar data processing frameworks
BACKGROUND THAT FITS
We are open to different career paths — what matters is that you have built real systems and are curious about what is next:
Software or Backend Engineers who have grown into cloud and infrastructure
Data Engineers or Analytics Engineers who want to expand into full-stack cloud architecture
DevOps or Platform Engineers from product companies looking to work across multiple industries
SREs or Cloud Engineers who also have data platform or ML infrastructure experience
SI or consulting engineers who have been on the delivery side, not just pre-sales
WHAT MAKES YOU STAND OUT
You actively use AI tools in your workflow today — not just talking about it, actually doing it
You have a GitHub or GitLab profile with real Terraform, data pipeline, or infrastructure code
You can explain trade-offs in architecture decisions — cost, reliability, scalability, and maintainability
You have led or meaningfully contributed to a modernization project and can walk us through before and after
You are curious about how LLMs and GenAI can change the way engineers build and operate systems
Workplace type:
Hybrid Working
About NTT DATANTT 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 50 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 EmployerNTT 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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