Jobs → Data & Analytics → GCP Data Architect

About the Role We are seeking a GCP Data Architect to provide hands-on leadership for Enterprise Data Platform Modernization initiatives. This role involves architecture transformation, migration planning, and modernization roadmaps for enterprise-scale data and analytics platforms. Key Responsibilities • Lead customer workshops to understand business requirements, use cases, pain points, and future-state needs • Define Target State and Transition State Architectures for enterprise-scale data and analytics platforms • Lead architecture blueprinting, solution definition, and technology evaluation • Translate business requirements into technical capabilities, architecture artifacts, and implementation roadmaps • Drive technology selection and evaluation across cloud-native, open-source, and commercial platforms • Develop implementation strategies, effort estimates, infrastructure sizing, and cost models • Design modern data integration architectures, including CDC and event-streaming platforms • Apply Data Mesh and domain-oriented architecture principles to enable scalable, decentralized data ecosystems • Evaluate and recommend open-source technologies for enterprise adoption • Provide architectural guidance on Modern Data Platforms, AI, and Generative AI • Collaborate with business stakeholders, product teams, architects, and engineering teams throughout the engagement lifecycle • Support pre-sales activities, solution development, proposals, architecture reviews, and executive presentations • Mentor engineering and architecture teams on modern data platform technologies, architecture patterns, and best practices Requirements • Google Cloud Platform (GCP) • Data Platform Modernization • Cloud Transformation Programs • Enterprise Data Architecture • Solution Architecture • Modern Data Lakehouse Architectures • Data Warehousing and Analytics Platforms • Real-Time Data Integration and Streaming Architectures • Event-Driven Architectures • Data Modeling • Information Architecture • Architecture Blueprinting • Technology Evaluation • API and Integration Architecture • Enterprise Integration Patterns • Stakeholder Management • Python, Kafka, Databricks, PySpark