
Redshift Cloud Data Engineer
2 days ago
We are seeking a highly skilled Redshift Cloud Data Engineer to support our clients in architecting, optimizing, and scaling cloud-based data environments.
Key Responsibilities:
- Lead architecture review and validation for multiple AWS Redshift clusters
- Validate sizing assumptions and provide right-sizing recommendations
- Define and implement operational excellence best practices (runbooks, monitoring, alerting)
- Establish key performance indicators (KPIs) and health metrics for Redshift platforms
- Analyze and optimize query performance (workload patterns, schema design, tuning)
- Establish schema governance and define change management/version control processes
- Define a clear, auditable process for deploying new tables, columns, and views
- Act as a strategic, consultative resource—not just operational support
- Collaborate with client teams to ensure reliability, scalability, and efficiency of Redshift environments
Required Skills and Qualifications:
- 5+ years in data engineering or database engineering/administration, with deep hands-on expertise in AWS Redshift
- Proven experience in cluster architecture review, sizing, and right-sizing recommendations
- Strong background in query performance tuning, schema optimization, and workload management
- Expert-level knowledge of Redshift fundamentals: table design (Distribution and Sort Keys), WLM tuning, vacuum operations, concurrency scaling
- Ability to develop and implement operational best practices (runbooks, monitoring, alerting)
- Demonstrated expertise in schema governance, version control, and structured change management
- Excellent communication and consultative skills—able to clearly articulate solutions to technical and business stakeholders
- Experience working in client-facing roles within professional services, consulting, or enterprise environments
- Strong problem-solving skills and ability to take ownership of strategic outcomes—not just tactical tasks
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