Role: AWS Redshift Data Engineer / Data Architect - Remote 

Overview

We are looking for a senior AWS Redshift expert to support analytics platform enhancements, including Redshift optimization, migration to Redshift Serverless, and modern data ingestion architecture.

Key Responsibilities

• Optimize and modernize Amazon Redshift environments, including consolidation into Redshift Managed Storage (RMS).

• Lead or support migration from Provisioned Redshift to Redshift Serverless with zero or minimal downtime.

• Analyze and tune Redshift SQL for performance across batch and ad-hoc analytical workloads.

• Review and enhance data ingestion pipelines from AWS sources such as RDS, DynamoDB, and Kinesis.

• Design data delivery into Apache Iceberg tables and Redshift with minimal duplication and high efficiency.

• Collaborate with stakeholders on architecture recommendations and best practices.

Required Skills

• Strong hands-on experience with Amazon Redshift (Provisioned, Serverless, RMS).

• Deep SQL performance tuning and query optimization expertise.

• Solid AWS data engineering background (RDS, DynamoDB, Kinesis).

• Experience with modern lakehouse concepts, especially Apache Iceberg.

• Data architecture and analytical platform design experience.

Nice to Have

• Exposure to AI-assisted query optimization or analytics platforms.

• Experience building or supporting BI and analytics use cases at scale.