Lead the architecture, design, and development of data warehousing solutions.

Provide technical guidance and mentorship to the data engineering team.

Ensure best practices in data warehousing, ETL / ELT processes, and data integration.

Design, develop, and optimize ETL / ELT pipelines using industry-standard tools.

Ensure data accuracy, integrity, and consistency across data sources.

Monitor and troubleshoot ETL / ELT processes to ensure timely and accurate data loading.

Implement and manage data warehousing solutions using Snowflake.

Utilize AWS Glue for data integration and ETL / ELT tasks.

Optimize data storage and retrieval processes to enhance performance.

Apply AI/ML concepts to extract insights from large datasets.

Integrate AI solutions like Cortex AI/AWS Bedrock into the...