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Technical Project Manager

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  • Posted 8 hours ago
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Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

  • Lead end‑to‑end delivery of Data Cloud initiatives, translating architecture and roadmaps into executable engineering plans and milestones.
  • Coordinate cross‑functional teams (data, platform, DevOps, analytics) to ensure standards‑based, scalable, and cloud‑best‑practice engineering execution.
  • Govern the full development and release lifecycle, ensuring quality gates, production readiness, and operational handover.
  • Proactively manage technical risks, dependencies, performance, security, and cloud cost while driving engineering efficiency and prioritization.
  • Provide clear, technically grounded communication to stakeholders, translating complex engineering outcomes into delivery, cost, and risk insights.

Your Profile

  • 10+ years of experience delivering cloud‑based data platforms, including data lakes, data warehouses, and lakehouse/medallion architectures across AWS, Azure, or GCP ecosystems.
  • Proven hands‑on expertise in data engineering fundamentals such as ingestion patterns, transformation layers, orchestration, metadata management, and observability.
  • Strong track record in leading complex technical programs, translating architectural vision into executable delivery plans, and managing cross‑team dependencies.
  • Extensive experience with modern engineering practices including CI/CD, Infrastructure as Code (IaC), DevOps, cloud security, networking, and cost optimization.

What you will love working in Capgemini

  • Be responsible for end‑to‑end delivery of cloud‑based data platforms, including data lakes, data warehouses, and lakehouse/medallion architectures across major cloud providers.
  • Drive hands‑on data engineering execution, covering ingestion patterns, transformation layers, orchestration, metadata management, and observability.
  • Clear career progression paths from engineering roles to architecture and consulting.
  • Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
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About Company

Capgemini was founded by Serge Kampf in 1967 as an enterprise management and data processing company. The company was founded as the Société pour la Gestion de l'Entreprise et le Traitement de l'Information (Sogeti).In 1974 Sogeti acquired Gemini Computers Systems, a US company based in New York.In 1975, having made two major acquisitions of CAP (Centre d'Analyse et de Programmation) and Gemini Computer Systems, and following resolution of a dispute with the similarly named CAP UK over the international use of the name 'CAP', Sogeti renamed itself as CAP Gemini Sogeti.

Job ID: 149397375

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