Gcp Enterprise Architect Mumbai (India)

We are looking for a very robust offshore Google Cloud Platform Enterprise Architect who can lead the technology side and provide the necessary guidance to our team. It is crucial to have someone who can effectively bridge the gap and elevate our team''s expertise. Primary Skill Architecture & Strategy Define and lead the enterprise data and AI architecture strategy leveraging GCP services such as BigQuery, Vertex AI, Dataflow, Pub/Sub, Looker, and Cloud Composer.Architect end-to-end data solutions including batch and real-time pipelines, data lakes, data warehouses, and AI/ML scalable, secure, and cost-optimized cloud-native architectures aligned with business goals and compliance requirements. Solution Delivery Lead technical discovery sessions, assess current state, and define future-state architectures.Develop high-level and detailed architecture documentation, including conceptual, logical, and physical architecture.Drive implementation of GenAI and LLM-powered applications for automationEnsure data quality, security, and compliance across all engineering and analytics teams on GCP best practices, DataOps, and MLOps.Lead workshops, architecture reviews, and innovation sessions to align stakeholders and drive adoption.Proven experience designing and deploying large-scale distributed data expertise in GCP services: BigQuery, Vertex AI, Looker, Dataflow, Cloud Functions, and Kubernetes.Solid proficiency in SQL or PythonGCP Skilled Cloud Architect or Data Engineer certification preferred. We are looking for a very robust offshore Google Cloud Platform Enterprise Architect who can lead the technology side and provide the necessary guidance to our team. It is crucial to have someone who can effectively bridge the gap and elevate our team''s expertise. Primary Skill Architecture & Strategy Define and lead the enterprise data and AI architecture strategy leveraging GCP services such as BigQuery, Vertex AI, Dataflow, Pub/Sub, Looker, and Cloud Composer.Architect end-to-end data solutions including batch and real-time pipelines, data lakes, data warehouses, and AI/ML scalable, secure, and cost-optimized cloud-native architectures aligned with business goals and compliance requirements. Solution Delivery Lead technical discovery sessions, assess current state, and define future-state architectures.Develop high-level and detailed architecture documentation, including conceptual, logical, and physical architecture.Drive implementation of GenAI and LLM-powered applications for automationEnsure data quality, security, and compliance across all engineering and analytics teams on GCP best practices, DataOps, and MLOps.Lead workshops, architecture reviews, and innovation sessions to align stakeholders and drive adoption.Proven experience designing and deploying large-scale distributed data expertise in GCP services: BigQuery, Vertex AI, Looker, Dataflow, Cloud Functions, and Kubernetes.Solid proficiency in SQL or PythonGCP Skilled Cloud Architect or Data Engineer certification preferred.