Found Description
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, v...