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Senior Data Infrastructure Engineer

Pattern· Data / Analytics
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Hybrid (Lehi, UT)Full-time (Salary)Posted 1mo ago

About the role

Senior Data Platform Engineer responsible for designing, scaling, and optimizing Pattern’s high-performance data infrastructure to process trillions of data points with speed and reliability in a hybrid, full-time role based in Lehi, UT.

Responsibilities

  • Design, build, and operate scalable, high-performance data infrastructure supporting both batch and real-time processing on a modern open-source stack: Iceberg, Spark, Kafka, etc.
  • Take a vague or high-level problem statement, drive it to a concrete architecture, and ship it to production end to end.
  • Define and manage platform infrastructure as code, and build the self-healing, observable systems that keep it reliable without manual intervention.
  • Build the tooling, SDKs, and self-service paths that let Data Engineers, Software Engineers, and AI agents use the platform safely without asking for help.
  • Implement optimized data pipeline architectures and data access patterns that eliminate friction across global teams.
  • Collaborate cross-functionally with Software Engineers, Data Engineers, and Product teams to meet evolving technical requirements, and bring a strong point of view to design reviews.
  • Integrate cloud security and access control best practices across all distributed data assets.
  • Troubleshoot, debug, and resolve complex performance bottlenecks in distributed data systems to ensure platform uptime and data integrity.
  • Build diagnostic and monitoring tools to proactively identify and resolve issues affecting system health and data availability.

Qualifications

  • 4+ years of experience in data platform engineering, data infrastructure, or backend software development with a "Data Fanatic" mindset.
  • End-to-End Problem Solving in Ambiguity: ability to take vague requirements and drive to production-ready solutions.
  • Software Engineering: strong proficiency in building performant, concurrent data services and platform tooling. Go preferred; Java, Python, Ruby, or Scala also accepted.
  • Modern Open-Source Architecture: experience with Apache Iceberg, Glue catalog, S3 storage; Trino, Spark, ClickHouse for compute; Kafka for streaming; Kubernetes environment.
  • SRE Mindset & Infrastructure as Code: proficiency in Terraform or CloudFormation, self-healing systems, observability (Prometheus, Grafana, or Datadog) for reliability.
  • Database & Storage Optimization: experience with relational stores (Postgres/RDS) and distributed systems, data consistency, indexing, query performance.
  • AI-Native Platform Thinking: ability to expose data/infrastructure through programmatic interfaces and use AI tooling to boost throughput.
  • Opinionated Collaboration & Communication: ability to defend architectural decisions with data and contribute in design reviews.

Skills

Required:Data platform engineeringSoftware engineering

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.
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Pattern

The #1 Global Ecommerce Accelerator

Pattern is the world’s leading ecommerce accelerator. Our ecommerce solutions accelerate brands on marketplaces, D2C, and other digital channels.

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