Principal Data Architect
About The Position
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 Define and lead the enterprise data architecture vision, ensuring alignment with business and technology strategies. Architect scalable, secure, high‑performance data platforms and pipelines across cloud, on‑prem, and hybrid ecosystems. Build reference architectures and data models (relational, dimensional, NoSQL, graph, object-store) for all data types and workloads. Establish and enforce standards for data governance, security, quality, lineage, and metadata across the enterprise. Mentor teams, drive architectural reviews, and translate complex technical concepts into clear, actionable recommendations for stakeholders Your Profile 10+ years of experience in data engineering, data architecture, or enterprise architecture roles. Strong expertise in BigQuery, Dataform, GCS, Composer, GCP Workflows, CI/CD pipelines, data modelling, and cloud data warehousing across GCP and Azure. Advanced proficiency in SQL and Python for large‑scale data processing, automation, and analytics. Relevant industry certifications such as GCP Professional Data Engineer/Architect, AWS Solutions Architect, or Azure Architect. What you will love working in Capgemini Be a key contributor in defining and evolving enterprise‑grade data architectures that enable large‑scale digital transformation. Collaborate with cross‑functional teams to deliver secure, compliant, and future-ready data solutions aligned with enterprise strategy. 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.Make it real | www.capgemini.com
Requirements
- 10+ years of experience in data engineering, data architecture, or enterprise architecture roles.
- Strong expertise in BigQuery, Dataform, GCS, Composer, GCP Workflows, CI/CD pipelines, data modelling, and cloud data warehousing across GCP and Azure.
- Advanced proficiency in SQL and Python for large‑scale data processing, automation, and analytics.
- Relevant industry certifications such as GCP Professional Data Engineer/Architect, AWS Solutions Architect, or Azure Architect.
Responsibilities
- Define and lead the enterprise data architecture vision, ensuring alignment with business and technology strategies.
- Architect scalable, secure, high‑performance data platforms and pipelines across cloud, on‑prem, and hybrid ecosystems.
- Build reference architectures and data models (relational, dimensional, NoSQL, graph, object-store) for all data types and workloads.
- Establish and enforce standards for data governance, security, quality, lineage, and metadata across the enterprise.
- Mentor teams, drive architectural reviews, and translate complex technical concepts into clear, actionable recommendations for stakeholders
Benefits
- Be a key contributor in defining and evolving enterprise‑grade data architectures that enable large‑scale digital transformation.
- Collaborate with cross‑functional teams to deliver secure, compliant, and future-ready data solutions aligned with enterprise strategy.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
