Responsibilities / Tasks
Data Architecture & Infrastructure
Design and implement a unified data warehouse and/or data lake capable of serving multiple analytics and AI workloads.Define the overall data architecture strategy, including storage layers, access patterns, and scalability approach.Define the data extraction and landing strategy, partitioning and SCD (slowly changing dimensions), data modelling strategy and consumption ports.Pipeline Development & Integration
Build and maintain ETL/ELT pipelines consuming data from multiple enterprise source systems (ERP, CRM, operational tools, and others).Develop pipelines using Databricks (Lakeflow Connect) & Azure Data Factory as primary platforms.Ensure pipeline reliability, scalability, and observability through monitoring, alerting, and logging.Data Quality & Governance
Establish and enforce data quality standards, vali...