You will oversee architecture across petabyte-scale datasets, mission-critical analytics workloads, architect and evolve the company's enterprise-grade data foundation—powering analytics, machine learning, and AI transformation. Partnering with the Head of Data Science & Analytics, you'll design scalable, governed, and intelligent data ecosystems that ensure reliable, timely insights and innovation readiness. Responsibilities 1. Enterprise Data Architecture Design and implement multi-layer data warehouse and lakehouse architectures for structured, semi-structured, and unstructured data. Define and enforce data modelling standards (3NF, dimensional, semantic). Build and maintain data flow diagrams, ER models, and lineage maps for end-to-end data flow transparency and traceability.
Enable both real-time and batch data ingestion with low-latency, scalable design.
2. Data Infrastructure & Platform Engineering Lead evaluation and integration of enterprise data and AI platforms (Databr...