Senior Data Infrastructure Engineer at Pattern

📋 Description

• End-to-end problem solving; architect production solutions.
• Build performant, concurrent data services; Go preferred.
• Design data stacks: Iceberg, Glue, S3; Trino, Spark, Clickhouse.
• Kafka in Kubernetes; streaming data infrastructure.
• SRE mindset and IaC: Terraform/CloudFormation; self-healing, observability.
• About Team: Modernizing Pattern's data platform.

🎯 Requirements

• Go preferred; Java, Python, Ruby, or Scala also accepted.
• Experience with Iceberg, Glue, S3; Trino, Spark, Clickhouse.
• Kafka in Kubernetes; streaming data pipelines.
• Terraform or CloudFormation; observability and self-healing infra.
• PostgreSQL/RDS tuning; data consistency and indexing.
• Strong design reviews; data-driven decisions; defend trade-offs.