Data Platform Engineer

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.

Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, , , eBay, Tmall, Tik Tok Shop, JD, and Mercado Libre.

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Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and implementation of our next-generation data platform. In this high-impact role, you will be the catalyst that enables our partners and global teams to extract actionable insights with unprecedented speed and sustainability. If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern.

• 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.

• 8+ years of experience in data infrastructure or backend software engineering with a "Data Fanatic" mindset.

• Cloud Mastery: Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large‑scale infrastructure.

• Data Processing: Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and Click House;
  Snowflake or Databricks experience is a plus.

• Technical Excellence: Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++.

• Proactive Leadership: A "can‑do" attitude with a proven track record of solving complex problems and taking initiative.

• Collaborative Spirit: Strong ability to work across teams to deliver high‑quality, high‑impact results.

• System Observability: Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems.

• Execution & Innovation: You proactively find and implement solutions that ensure platform scalability while remaining cost‑effective, consistently optimizing infrastructure performance.

• System Scalability: You successfully deliver major infrastructure upgrades that empower the company to harness 46+ trillion data points effectively.

• A Team of Doers: You mentor team members daily, driving a culture of technical excellence and growth.

• Setting the Bar: You establish and enforce industry‑leading best practices, ensuring the team adopts cutting‑edge processes.

• Direct mentorship opportunities…