Description

You will design and execute the architectural strategy for data integration, cloud migration, and scalable data modeling.

Responsibilities

• Design data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools.
• Lead the strategic planning and execution of migrating in-house data platforms to the cloud.
• Develop efficient data models for Snowflake and Databricks to support scalable storage and analytics.
• Architect and implement data pipelines using Airflow and Python for automated data processing.
• Provide actionable business insights through advanced reporting and analytics using Snowflake and Databricks.

Required Skills

• 13+ years of experience in data architecture or related roles.
• Expertise in Python and Airflow for pipeline development.
• Hands-on experience with Kafka and CDC extraction tools.
• Deep knowledge of Snowflake and Databricks architectures.
• Experience managing and integrating with Oracle databases.
• Proven ability to design scalable data models and processing workflows.
• Experience leading large-scale platform migrations to the cloud.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate