Pattern
Staff Data Infrastructure Engineer
Lehi, UT, US · Hybrid · Staff · Full-time · Posted Apr 27, 2026
- Experience
- 8+ years in data infrastructure or backend software engineering.
About the job
Leads the architecture and implementation of scalable data infrastructure, improving data access, reliability, and platform health for batch and real-time workloads.
What you'll do
- Build and maintain high-performance data infrastructure for global stakeholders.
- Design platform architecture that improves data access, security, scalability, and reliability.
- Develop AI-driven diagnostic systems to identify, analyze, and resolve data platform issues.
What they ask for
- Strong expertise in cloud environments, container orchestration, and event streaming technologies.
- Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse.
- Ability to write maintainable code in Python, GoLang, Java, Ruby, or C++.
- Expertise in platform observability using tools such as Prometheus, Grafana, or Datadog.
Nice to have
- Snowflake or Databricks experience.
- GoLang or Scala experience, or contributions to open-source data projects.
Tools
Spark, Trino, ClickHouse, Snowflake, Databricks, Python, GoLang, Java
AI focus
Architect and implement AI-driven diagnostics that autonomously identify, analyze, and resolve issues affecting data availability and platform health.
Model-written summary · the original posting is authoritative