Numentica

AWS Redshift Data Engineer / Data Architect

Numentica

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Location Type: Remote

Location: CaliforniaUnited States

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About the role

  • 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.

Requirements

  • 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.
Benefits
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Hard Skills & Tools
Amazon RedshiftSQL performance tuningquery optimizationdata engineeringApache Icebergdata architectureanalytical platform design
Soft Skills
collaborationstakeholder engagement