Staff Data Platform Engineer: Build AI-Driven Global Data Infra

Pattern; Lehi (UT); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO

Paid Holidays

Onsite Fitness Center

Company Paid Life Insurance

Casual Dress Code

Competitive Pay

Health, Vision, and Dental Insurance

401(k) match

Job summary

Pattern, a leading ecommerce company based in Lehi, Utah, is seeking a Staff Data Platform Engineer. This high-impact role involves designing, architecting, and implementing a next-generation data platform, targeting a variety of global stakeholders. The ideal candidate should possess 8+ years of experience, strong expertise in cloud environments, and an understanding of data processing technologies. Additional responsibilities include collaborating across teams, ensuring data integrity, and leading initiatives to optimize platform performance.

Qualifications

• Strong expertise in cloud environments and container orchestration.
• Experience with distributed data processing.
• Ability to write clean, maintainable code.

Responsibilities

• Build and maintain scalable, high-performance data infrastructure.
• Design architectural solutions to reduce data access friction.
• Collaborate cross-functionally with Engineering and Product teams.

Skills

Cloud expertise

Data processing technologies (Spark, Trino)

Programming (Python, GoLang, Java)

System observability tools (Prometheus, Grafana)

Proactive leadership

Education

8+ years of experience in data infrastructure or backend software engineering

Tools

Snowflake

Databricks

ClickHouse

Job description

Pattern, a leading ecommerce company based in Lehi, Utah, is seeking a Staff Data Platform Engineer. This high-impact role involves designing, architecting, and implementing a next-generation data platform, targeting a variety of global stakeholders. The ideal candidate should possess 8+ years of experience, strong expertise in cloud environments, and an understanding of data processing technologies. Additional responsibilities include collaborating across teams, ensuring data integrity, and leading initiatives to optimize platform performance.