Kunai
Senior Cloud Data Engineer
Remote - United States · Senior
Sponsorship not specifiedDetected 101 days ago
Full-Stack DevelopmentSQLPostgreSQLBigQuerySnowflakeRedshiftAWSGCPCloud PlatformsTerraformCI/CDGrafanaKafkaData Engineering
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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- If you thrive in technically demanding environments, love solving gnarly data problems, and want your fingerprints on an enterprise-scale transformation, this engagement is for you.
Responsibilities
- Own end-to-end data migration execution: Drive the full OLAP/OLTP migration from GCP to AWS: data mapping, schema conversion, and hands-on lift-and-shift execution.
- Build rock-solid synchronization pipelines: Design and implement data sync pipelines with tight SLAs for latency, consistency, and error recovery. Zero ambiguity on failure modes.
- Bring the target architecture to life: Implement the AWS data architecture end to end, including driver personalization engines and production-grade dashboarding solutions.
- Build observability from the ground up: Create monitoring, alerting, and reconciliation frameworks that give the team real-time confidence in cross-cloud data fidelity.
- Partner closely with the client: Work shoulder-to-shoulder with stakeholders to nail data governance, access patterns, and analytics requirements.
- Own end-to-end data migration execution:
- Build rock-solid synchronization pipelines:
- Design and implement data sync pipelines with tight SLAs for latency, consistency, and error recovery.
- Implement the AWS data architecture end to end, including driver personalization engines and production-grade dashboarding solutions.
- Build observability from the ground up:
Requirements
- BigQuery to Redshift, Cloud SQL to Aurora/RDS: you have done this before and have the scars to prove it
- BigQuery, Cloud Spanner, Dataflow, Pub/Sub, Cloud SQL: you know the terrain you are leaving
- Data Migration
- Data mapping, schema conversion, and ETL/ELT pipeline design at enterprise scale
- OLAP and OLTP Systems
- Dimensional modeling: star and snowflake schemas, done right
- Transactional database optimization and time-series data migration
- Data Synchronization
- CDC (Change Data Capture), real-time replication, latency tuning
- Strong opinions on eventual vs. strong consistency, and when each applies
- Battle-tested error handling and retry strategies
- AWS Data Services
Skills
- This is a chance to work at the center of a complex and consequential cloud transformation for a major financial services org.
Company info
- Terraform, CloudFormation, and automated CI/CD for data pipelines
This listing is sourced directly from Kunai's careers page and normalized into a canonical job model.