Lead Data Governance Professional

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 designing, developing, and optimizing scalable data pipelines using Apache Airflow, Python, and Google Cloud Composer.
• Experience with GCP services including GCS, Cloud Functions, and Cloud Run to build serverless and containerized data solutions.
• Proven expertise acting as a Solution Architect, delivering high‑performance, scalable data architectures while enforcing cloud and data best practices.
• Strong background in data modelling, data quality checks, monitoring, and troubleshooting to ensure data integrity and reliability.
• Extensive experience in end‑to‑end deployment, UAT, production support, customer interactions, and technical documentation.

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.