Principal Data Architect

Job Description

responsibilities

Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP and Azure) • Design, develop, and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions • Ensure integration of industry-accepted data architecture principles, standards, guidelines, and concepts with other domains, along with coordinated roll-out and adoption strategies • Drive the design, sizing, provisioning, and setup of GCP and Azure environments and related services such as BigQuery, Dataflow, and Cloud Storage • Provide mentoring and guidance on Azure and GCP-based data architecture to engineering, analytics, and business teams • Review solution requirements and architecture for appropriate technology selection, efficient resource utilization, and effective integration across systems and technologies • Advise on emerging Azure and GCP trends and services, and recommend adoption strategies to maintain competitive edge

Actively participate in pre-sales engagements, PoCs, and contribute to publishing

thought leadership content. Collaborate closely with the founders and leadership

team to shape and drive the organizations cloud and data strategy

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