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.
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.