Staff Data Platform Engineer
AI summary of the role
Staff-level data platform engineer to architect and lead the next-generation data platform at Pattern, an AI-powered ecommerce acceleration company.
What you’ll do
- Build and maintain scalable, high-performance data infrastructure for batch and real-time use cases
- Design and implement architectural solutions to reduce friction in data access across the organization
- Collaborate cross-functionally with Engineering, Data, and Product teams
- Architect and implement AI-driven diagnostic systems for autonomous issue resolution
What you’ll bring
- 8+ years in data infrastructure or backend software engineering
- Strong expertise in cloud environments, container orchestration, and event streaming
- Strong experience with distributed data processing and OLAP technologies (Spark, Trino, ClickHouse)
- Ability to write clean code in Python, GoLang, Java, Ruby, or C++
Technologies
Spark · Trino · ClickHouse · Snowflake · Databricks · Python · GoLang · Java · Ruby · C++ · Prometheus · Grafana
About Pattern
AI-powered ecommerce acceleration platform for global brands selling across 60+ marketplaces (Amazon, Walmart, TikTok Shop, Mercado Libre); uses 46+ trillion data points to optimize advertising, pricing, inventory, and fulfillment.
Public · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com. 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. What is a day in the life of a Staff Data Infrastructure Engineer?
More from the job description
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, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com. 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-gen [... source excerpt omitted ...] ally 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. What will I need to thrive in this role? 8+ years of experience in data infrastructure or backend software engineering with a "Da [... source excerpt omitted ...] pact, shape the platform roadmap, and provide technical leadership across the organization. What is the team like? This role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers and Software Engineers as well as other departments including Engineering, Product, and Marketing. This position is mentored by the VP of Data and Architecture. Sounds great! What’s the company culture? We are looking for individuals who are: Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses
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