Senior Data Platform Architect for Scale & AI

Pattern

Lehi (UT)

On-site

USD 140,000 - 190,000

Full time

12 days ago

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Job summary

Pattern seeks a Senior Data Platform Engineer to design, scale, and optimize a high-performance data infrastructure. You will work with a modern open-source stack (Iceberg, Spark, Kafka) and build scalable, self-service tooling for engineers and AI agents.

The role emphasizes end-to-end problem solving, strong collaboration, and a focus on reliability, observability, and security across distributed data assets. Utah-based, on-site with Pattern’s global tech organization.

Qualifications

  • 4+ years of experience in data platform engineering, data infrastructure, or backend software development with a data-centric mindset.
  • Ability to design and operate modern data stacks and scale high-performance data infrastructure.
  • Experience with open-source data tools (Iceberg, Spark, Kafka) in Kubernetes environments.

Responsibilities

  • Design, scale, and operate scalable data infrastructure for batch and real-time processing.
  • Define infrastructure as code and build self-healing, observable systems.
  • Build tooling and self-service paths for engineers and AI agents to access the platform safely.
  • Collaborate cross-functionally to meet evolving technical requirements and review designs.
  • Implement secure data access patterns and cloud security practices across data assets.

Skills

Go
Java
Python
Kubernetes
Terraform
Prometheus
Grafana
Datadog
Kafka
Apache Iceberg

Tools

Spark
Kafka
Apache Iceberg
Trino
ClickHouse
S3
Glue catalog

Job description

Pattern seeks a Senior Data Platform Engineer to design, scale, and optimize a high-performance data infrastructure. You will work with a modern open-source stack (Iceberg, Spark, Kafka) and build scalable, self-service tooling for engineers and AI agents.

The role emphasizes end-to-end problem solving, strong collaboration, and a focus on reliability, observability, and security across distributed data assets. Utah-based, on-site with Pattern’s global tech organization.

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