Senior Data Platform Engineer: Scale, Observability

Jobtailor; Lehi (UT); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor seeks a senior Data Platform Engineer to design, build, and operate scalable data infrastructure for both batch and real-time processing. You will translate vague requirements into concrete architectures and production deployments, while driving infrastructure as code and robust observability across distributed systems.

The role emphasizes Go, Spark, and modern data stacks (Iceberg, Glue, S3, Trino) with a focus on performance, reliability, and security.

Qualifications

• 4+ years of experience in data platform engineering, data infrastructure, or backend software development.
• Ability to take vague or high-level requirements and drive them to production-ready solutions.
• Strong proficiency in performant, concurrent data services and platform tooling.

Responsibilities

• Design, build, and operate scalable, high-performance data infrastructure for batch and real-time processing.
• Define and manage platform infrastructure as code.
• Build self-healing and observable systems requiring minimal manual intervention.
• Integrate cloud security and access-control best practices across distributed data assets.
• Establish CI/CD pipelines and proactive alerting mechanisms.

Skills

Data Platform Engineering

Go Programming

Apache Spark

Terraform

Kubernetes

Tools

Apache Iceberg

AWS Glue

Amazon S3

Trino

ClickHouse

Kafka

Prometheus

Grafana

Datadog

Postgres

Job description

Jobtailor seeks a senior Data Platform Engineer to design, build, and operate scalable data infrastructure for both batch and real-time processing. You will translate vague requirements into concrete architectures and production deployments, while driving infrastructure as code and robust observability across distributed systems.

The role emphasizes Go, Spark, and modern data stacks (Iceberg, Glue, S3, Trino) with a focus on performance, reliability, and security.