This position bridges the gap between high-level business requirements and technical execution, defining the architecture of scalable data pipelines, robust storage solutions, and high-performance analytics…
Read full description
This position bridges the gap between high-level business requirements and technical execution, defining the architecture of scalable data pipelines, robust storage solutions, and high-performance analytics environments. As a practitioner in this role, you will be responsible for translating business needs into technical solutions, leveraging your expertise to drive the design and implementation of data-driven systems.Key Responsibilities:Architectural Design: Lead the design of end-to-end solution and data architectures, including ingestion, processing, storage, and visualization layers.Infrastructure Strategy: Define cloud-native or hybrid infrastructure strategies that support high-volume data processing and real-time analytics.Hands-on Development: Develop Proof of Concepts (PoCs) and core framework components for data pipelines (e.g.