Staff Data Infrastructure Engineer

Pattern • Lehi, UT

1d • Onsite

About The Position

Pattern is seeking a visionary Staff Data Infrastructure Engineer to lead the design, architecture, and implementation of its next-generation data platform. This high-impact role is crucial for enabling partners and global teams to extract actionable insights with unprecedented speed and sustainability. The ideal candidate will architect the backbone of a data-driven empire and eliminate friction at a global scale.

Requirements

• 8+ years of experience in data infrastructure or backend software engineering with a "Data Fanatic" mindset.
• Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure.
• Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse.
• Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++.
• A "can-do" attitude with a proven track record of solving complex problems and taking initiative.
• Strong ability to work across teams to deliver high-quality, high-impact results.
• Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems.

Nice To Haves

• Snowflake or Databricks experience is a plus.
• Expertise in Databricks/Snowflake.
• Experience with GoLang or Scala.
• A history of contributing to open-source data projects.

Responsibilities

• Build and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders.
• Design and implement architectural solutions that drastically reduce friction in data access across the organization.
• Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements.
• Understand and integrate best security practices to ensure access compliance across all data assets.
• Troubleshoot and resolve complex issues in distributed data systems to ensure total data integrity.
• Architect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health.

Benefits

• Unlimited PTO
• Paid Holidays
• Onsite Fitness Center
• Company Paid Life Insurance
• Casual Dress Code
• Competitive Pay
• Health, Vision, and Dental Insurance
• 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed