Principal Data Platform Engineer

New
Based in United StatesFull-TimePrincipal
Salary not disclosed
Apply NowOpens the employer's application page

Job Details

Experience
8+ years of experience in data engineering, platform engineering, SRE, or DevOps roles
Required Skills
SQLKafkaSnowflakeAirflowAzureData engineeringTerraformData modeling

Requirements

  • 8+ years of experience in data engineering, platform engineering, SRE, or DevOps roles.
  • Demonstrated impact at Staff or Principal IC level.
  • Experience building large-scale distributed data systems in production environments.
  • Deep cloud expertise (Azure preferred, AWS or GCP acceptable).
  • Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform).
  • Strong SQL expertise and solid data modeling skills.
  • Hands-on experience with orchestration tools and streaming/ingestion frameworks (e.g., Airflow, Kafka, Flink).
  • Experience designing cross-region replication and disaster recovery strategies.
  • Experience with modern data warehousing and transformation layers (e.g., Snowflake, dbt).
  • Proficiency in Python, Go, or similar languages.

Responsibilities

  • Design and implement end-to-end data platform architecture, including CDC pipelines, streaming systems, schema design, transformation layers, warehouse/mart modeling, and consumption-ready datasets.
  • Build and maintain resilient, multi-region data systems with strong guarantees around replication, automated failover, disaster recovery, and operational reliability.
  • Architect scalable streaming and ingestion pipelines with a focus on correctness, schema evolution, replayability, and event-driven design principles.
  • Define and enforce data modeling standards for curated marts and semantic layers.
  • Implement comprehensive observability across the data platform, including monitoring, alerting, logging, and data quality validation frameworks.
  • Own data governance foundations including PII classification, lineage tracking, access controls, encryption standards, and secure data handling.
  • Establish architectural standards and mentor engineers.
  • Treat cost efficiency as a core design constraint.
View Full Description & ApplyYou'll be redirected to the employer's site
View details
Apply Now