Define enterprise data architecture, design scalable cloud-based data solutions, and establish standards and best practices.
Create conceptual, logical, and physical data models optimized for transactional and analytical use cases.
Build and manage data pipelines (ETL/ELT), enabling seamless data flow across systems with batch and real-time processing.
Design modern data warehouses and support BI, reporting, and advanced analytics through structured data layers.
Implement and optimize data solutions on Azure, with working knowledge of AWS, ensuring scalability and cost efficiency.
Establish data classification, quality, security, and governance frameworks, including lineage and metadata management.
Develop and optimize complex SQL queries and ensure high performance across pipelines, models, and databases.
Exposure to AI/ML data pipelines.
Proven experience designing enterprise-scale data solutions.
We are seeking a highly experienced Senior Data Architect with 15+ years of experience to lead enterprise data architecture strategy
