Data Platform Engineer

New

Skills

Automated failover Change Data Capture (CDC) Data architecture Data quality observability Data warehousing Infrastructure as Code (Terraform) Multi-region replication Schema evolution SQL and data modeling Streaming technologies

We are seeking a Principal Data Platform Engineer to design and implement innovative end-to-end data architecture solutions. This role involves building multi-region replication, architecting streaming pipelines, and ensuring data quality and observability. The ideal candidate will have extensive experience in large-scale distributed data systems and cloud environments.

Key Responsibilities
  • Design end-to-end data architecture including CDC, streaming, and warehouse solutions.
  • Build multi-region replication systems with automated failover and disaster recovery.
  • Architect and implement streaming pipelines with schema evolution capabilities.
  • Model and catalog data marts for self-service analytics.
  • Develop monitoring solutions and ensure data quality observability.
  • Own PII classification, lineage, access controls, and encryption strategies.
Required Skills & Qualifications
  • 8+ years of experience in data/platform engineering, preferably at a Staff or Principal level.
  • Experience building large-scale distributed data systems in a production environment.
  • Cloud experience (Azure preferred; AWS/GCP transferable) with Infrastructure as Code (IaC) and CI/CD using Terraform.
  • Strong SQL skills and data modeling experience across streaming and warehouse environments.
  • Production experience with at least one orchestration tool and one streaming/ingestion stack.
  • Knowledge of cross-regional replication architectures, failover, and consistency trade-offs.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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