Under limited supervision, creates project level data architecture artifacts for specific projects.
Essential Functions
Cloud-Native Architecture Design: Lead the architectural design and implementation of scalable, high-performance data platforms (Data Lakes, Data Warehouses) leveraging Google Cloud Platform (GCP) services such as BigQuery and Cloud Storage.End-to-End Pipeline Engineering: Architect and optimize automated, robust data ingestion and transformation pipelines for both batch and real-time processing using Dataflow, Confluent Kafka, Pub/Sub, and Cloud Composer.Advanced Data Modeling: Translate complex business requirements into high-quality conceptual, logical, and physical data models, ensuring structural integrity and alignment with modern analytics and AI/ML workloads.Platform Modernization & Migration: Drive the strategic transition from legacy on-premise or hybrid data systems to cloud-native GCP solutions, defining m...