NTT DATA

55,092 Total Employees
Year Founded: 1988

Jobs at NTT DATA

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Recently posted jobs

2 Days AgoSaved
In-Office
Copetown, Hamilton, ON, CAN
Information Technology • Business Intelligence • Consulting
Senior L3 managed services engineer responsible for proactive resolution of complex cross-technology incidents across Azure, VMware, storage, backup, networking and security. Designs, deploys, automates and governs hybrid infrastructure, leads migrations, mentors junior engineers, and drives service reliability and SLA adherence.
19 Days AgoSaved
In-Office
Toronto, ON, CAN
Information Technology • Business Intelligence • Consulting
Design, implement, and manage Azure cloud solutions with a focus on automation. Develop CI/CD pipelines, ensure security compliance, and mentor IT team members.
21 Days AgoSaved
In-Office
Copetown, Hamilton, ON, CAN
Information Technology • Business Intelligence • Consulting
As a Sales Specialist, you will engage clients, generate leads, manage the sales process, and develop relationships with senior executives to drive business growth and maximize retention.
25 Days AgoSaved
In-Office
4 Locations
Information Technology • Business Intelligence • Consulting
Lead presales and solution architecture for multi-cloud security across AWS, Azure, and GCP. Design cloud security reference architectures (CSPM/CNAPP, IAM, network, data protection, DevSecOps, Kubernetes, Zero Trust), support RFI/RFPs, collaborate with hyperscalers and vendors, position managed security services (MDR/MXDR/SOC/SIEM/SOAR), run executive workshops, mentor architects, and drive cybersecurity transformations.
29 Days AgoSaved
In-Office
Toronto, ON, CAN
Information Technology • Business Intelligence • Consulting
The Senior Network Engineer will manage and optimize in-house and cloud-based networks, ensuring security and availability while troubleshooting complex network issues.
29 Days AgoSaved
In-Office
4 Locations
Information Technology • Business Intelligence • Consulting
Lead product vision and roadmap for Talent Growth, enabling skills-driven career development, internal mobility, learning pathways, and workforce intelligence. Partner across People & Culture, IT, Data, Architecture, and business stakeholders to define MVPs, manage backlog priorities, integrations, adoption, and measurable business value for global scalability.
29 Days AgoSaved
In-Office
2 Locations
Information Technology • Business Intelligence • Consulting
Lead the AI product and experience roadmap across People & Culture HR technologies, embedding AI into architectures, employee journeys, workflows, and product roadmaps. Translate business needs into prioritized AI use cases, MVPs, and backlogs; partner with technical, data, security, architecture, and change teams to ensure governed, scalable, high-value AI-enabled employee experiences and drive adoption and measurement.
One Month AgoSaved
In-Office
4 Locations
Information Technology • Business Intelligence • Consulting
Lead design and governance of enterprise-scale Google Cloud solutions. Advise clients and sales on cloud strategy, architecture, migration, modernization, IaC, security, observability, and FinOps. Provide hands-on guidance for Terraform, CI/CD, containerization, and automation; perform architecture reviews, mentor teams, and support pre-sales and delivery activities.
One Month AgoSaved
In-Office
2 Locations
Information Technology • Business Intelligence • Consulting
Serve as senior technical authority for enterprise AWS architecture: design scalable, secure, resilient cloud platforms; lead IaC, migration, modernization, containerization and serverless initiatives; provide pre-sales support, architecture reviews, governance, FinOps guidance, and mentor architects and engineers.
One Month AgoSaved
In-Office
4 Locations
Information Technology • Business Intelligence • Consulting
Lead pre-sales and delivery for enterprise AI, data, analytics, and cloud solutions across Azure, AWS, and GCP. Design scalable, secure cloud-native architectures, guide AI/ML, MLOps, data platform and governance initiatives, mentor teams, and drive technical governance, FinOps, and responsible AI practices.