Description

Lead the design and implementation of enterprise data and analytics solutions on AWS.

Responsibilities

• Architect scalable data platforms using Amazon Redshift, S3, Glue, and Athena.
• Define and implement data ingestion, transformation, and semantic modeling patterns.
• Design and optimize data pipelines for batch and near real-time processing.
• Ensure data quality, governance, and security controls are embedded in the architecture.
• Develop architecture standards, design documents, and support procedures.

Required Skills

• 5+ years of experience in Data Architecture and Data Engineering.
• Hands-on expertise with AWS services: Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena.
• Strong understanding of data pipelines, analytics, and enterprise integration.
• Experience designing reliable and scalable data solutions for structured and semi-structured sources.
• Ability to lead implementation, migration, and modernization initiatives.
• Strong communication skills to collaborate with business, finance, and IT teams.
• Any Graduate degree.

Preferred Skills

• Experience with Amazon QuickSight, AWS Lambda, and SAP integration.
• Knowledge of data governance, security controls, and data quality management.

Key Skills

Education

Any Graduate